COURSE SIGN UP TODAY - SPIE · Advanced Sensing and Imaging SC1241 Fundamentals of Infrared Sensing...

COURSE CATALOG

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14-18 April 2019Baltimore Convention CenterBaltimore, Maryland

Training from leading expertsCourses on Lasers, Sensors, Imaging, IR, Optics/optomechanics, and more

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ii SPIE Defense + Commercial Sensing 2019 • spie.org/dcscourses • #SPIEDCS

Efficient Training from Leading Experts Take a course at Defense + Commercial Sensing. Learn current approaches in lasers and applications, sensors, imaging, IR systems, optical & optomechanical engineering, and more. Choose from 29 half and full-day courses offering efficient training for career enhancement, taught by recognized experts in industry and academia. Plus, earn CEUs from an accredited provider to fulfill ongoing professional education requirements

New and Featured Courses• Blockchain Technologies and Distributed Ledger Systems• Introduction to LIDAR for Autonomous Vehicles• Quantum Cryptography• An Introduction to Quantum Lidar and Quantum Radar• Interpreting Deep Learning Networks• Deep Learning Architecture for Defense and Security• Infrared Systems Architecture and Design for Future Market Trends• Head Mounted Display Requirements and Designs for Augmented

Reality Applications• Infrared Imaging Technology Basics

Register Early Courses and workshops have limited seating and can sell out prior to the conference. There will not be a wait list for sold out courses.Registering for a course or workshop gains you FREE admission to the exhibition. For the most up-to-date information on courses and workshops including pricing and scheduling, please refer to our website: www.spie.org/dcscourses

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1THIS PROGRAM IS CURRENT AS OF 4 JANUARY 2019. FIND THE LATEST ON THE SPIE CONFERENCE APP.

MONEY-BACK GUARANTEEWe are confident that once you experience an SPIE course for yourself you will look to us for your future education needs. However, if for any reason you are dissatisfied, we will gladly refund your money. We just ask that you tell us what you did not like; suggestions for improvement are always welcome.

CONTINUING EDUCATION UNITSSPIE is accredited by the International Association for Continuing Education and Training (IACET) and is authorized to issue the IACET CEU.

COURSE INDEXPrices listed are for SPIE Member/Non-member. For SPIE student prices see course descriptions.

Advanced Sensing and ImagingSC1241 Sun Fundamentals of Infrared Sensing

(Boreman) 8:30 am to 5:30 pm, $735 / $850 . . . . . . . . . . . . . . . . . . . . . . 12

SC152 Sun Infrared Focal Plane Arrays (Hubbs) 8:30 am to 5:30 pm, $580 / $695 . . . 13

SC160 Sun Precision Stabilized Pointing and Tracking Systems (Hilkert) 8:30 am to 5:30 pm, $580 / $695 . . . 14

SC1189 Sun Principles and Applications of Synthetic Aperture Radar (SAR) (Doerry) 8:30 am to 12:30 pm, $330 / $390 . . . . . . . . . . . . . . . . . . . . . . 12

SC710 Sun NIR and SWIR Imaging Applications (Richards) 1:30 pm to 5:30 pm, $385 / $445 . . . . . . . . . . . . . . . . . . . . . . 14

SC1103 Mon 3D Imaging Laser Radar (Kamerman) 8:30 am to 5:30 pm, $580 / $695 . . . . 11

SC154 Mon Electro-Optical Imaging System Performance (Holst) 8:30 am to 5:30 pm, $655 / $770 . . . . . . . . . . . . . . 13

SC1096 Mon Head-Mounted Display Requirements and Designs for Augmented Reality Applications (Browne, Melzer) 8:30 am to 5:30 pm, $590 / $705 . . . 10

SC900 Mon Uncooled Thermal Imaging Detectors and Systems (Hanson) 8:30 am to 5:30 pm, $625 / $740 . . . 15

SC789 Wed Introduction to Optical and Infrared Sensor Systems (Shaw) 8:30 am to 5:30 pm, $580 / $695 . . . . . . . . . . . . . . 15

SC950 Thu Infrared Imaging Radiometry (Richards) 8:30 am to 5:30 pm, $580 / $695 . . . . . . . . . . . . . . . . . . . . . . 16

SC067 Thu Testing and Evaluation of E-O Imaging Systems (Holst) 8:30 am to 5:30 pm, $655 / $770 . . . . . . . . . . . . . . 10

Imaging and AnalyticsSC1215 Sun Deep Learning Architectures for

Defense and Security (Nasrabadi) 8:30 am to 5:30 pm, $580 / $695 . . . . 7

SC066 Sun Fundamentals of Electronic Image Processing (Weeks) 8:30 am to 5:30 pm, $650 / $765 . . . . . . . . . . . . . . . 5

SC994 Sun Multisensor Data Fusion for Object Detection, Classification and Identification (Klein) 8:30 am to 5:30 pm, $660 / $775 . . . . 9

SC1072 Sun Statistics for Imaging and Sensor Data (Bajorski) 8:30 am to 5:30 pm, $650 / $765 . . . . . . . . . . . . . . . . . . . . . . . 6

SC194 Mon Multispectral and Hyperspectral Image Sensors (Lomheim) 8:30 am to 12:30 pm, $410 / $470 . . . . 8

SC1135 Wed Multispectral Image Fusion and Night Vision Colorization (Zheng, Blasch) 8:30 am to 12:30 pm, $395 / $455 . . . . . . . . . . . . . . 6

SC1268 Wed Interpreting Deep Learning Networks (Rao) 1:30 pm to 5:30 pm, $330 / $390 . . . . . . . . . . . . . . . . . . . . . . . 8

Materials and DevicesSC1267 Sun An Introduction to Quantum Lidar

and Quantum Radar (Balaji) 8:30 am to 12:30 pm, $330 / $390 . . . 4

SC1258 Sun Quantum Cryptography (Venegas-Andraca, Lanzagorta) 1:30 pm to 5:30 pm, $330 / $390 . . . . 4

SC504 Wed Introduction to CCD and CMOS Imaging Sensors and Applications (Crisp) 1:30 pm to 5:30 pm, $470 / $530 . . . . . . . . . . . . . . . . . . . . . . . 5

Next Generation Sensor Systems and ApplicationsSC1266 Wed Blockchain Technologies and

Distributed Ledger Systems (Blowers) 8:30 am to 12:30 pm, $330 / $390 . . . . . . . . . . . . . . . . . . . . . . .17

SC1232 Thu Introduction to LIDAR for Autonomous Vehicles (Shaw) 8:30 am to 12:30 pm, $330 / $390 . . .17

Optical and Optomechanical EngineeringSC014 Sun- Introduction to Optomechanical Mon Design (Vukobratovich) 8:30 am to

5:30 pm, $1,105 / $1,370 . . . . . . . . . . . . 18

SC156 Mon Basic Optics for Engineers (Boreman) 8:30 am to 5:30 pm, $625 / $740 . . . . . . . . . . . . . . . . . . . . . . 19

Snapshots: 2-Hour Courses for Non-Technical StaffSC1246 Mon Infrared Imaging Technology Basics

(Richards) 10:30 am to 12:30 pm, $185 / $210 . . . . . . . . . . . . . . . . . . . . . . . 19

SC609 Mon Basic Optics for Non-Optics Personnel (Harding) 1:30 pm to 3:30 pm, $185 / $210 . . . . . . . . . . . . . . . 20

SC1269 Mon Infrared Systems Architecture and Design for Future Market Trends (Miller) 3:30 pm to 5:30 pm, $185 / $210 . . . . . . . . . . . . . . . . . . . . . . . 20

You can’t go wrong with our money-back guarantee.

SPIE reserves the right to cancel a course due to insufficient advance registration.

2 SPIE Defense + Commercial Sensing 2019 • spie.org/dcscourses • #SPIEDCS

DAILY COURSE SCHEDULE BY TRACKSunday Monday Tuesday Wednesday Thursday

Advanced Sensing and ImagingSC1241 Fundamentals of Infrared Sensing (Boreman) 8:30 am to 5:30 pm, $735 / $850, p. 12

SC1103 3D Imaging Laser Radar (Kamerman) 8:30 am to 5:30 pm, $580 / $695, p. 11

Wed SC789 Introduction to Optical and Infrared Sensor Systems (Shaw) 8:30 am to 5:30 pm, $580 / $695, p. 15

SC950 Infrared Imaging Radiometry (Richards) 8:30 am to 5:30 pm, $580 / $695, p. 16

SC152 Infrared Focal Plane Arrays (Hubbs) 8:30 am to 5:30 pm, $580 / $695, p. 13

SC154 Electro-Optical Imaging System Performance (Holst) 8:30 am to 5:30 pm, $655 / $770, p. 13

SC067 Testing and Evaluation of E-O Imaging Systems (Holst) 8:30 am to 5:30 pm, $655 / $770, p. 10

SC160 Precision Stabilized Pointing and Tracking Systems (Hilkert) 8:30 am to 5:30 pm, $580 / $695, p. 14

SC1096 Head-Mounted Display Requirements and Designs for Augmented Reality Applications (Browne, Melzer) 8:30 am to 5:30 pm, $590 / $705, p. 10

SC1189 Principles and Applications of Synthetic Aperture Radar (SAR) (Doerry) 8:30 am to 12:30 pm, $330 / $390, p. 12

SC900 Uncooled Thermal Imaging Detectors and Systems (Hanson) 8:30 am to 5:30 pm, $625 / $740, p. 15

SC710 NIR and SWIR Imaging Applications (Richards) 1:30 pm to 5:30 pm, $385 / $445, p. 14

Imaging and AnalyticsSC1215 Deep Learning Architectures for Defense and Security (Nasrabadi) 8:30 am to 5:30 pm, $580 / $695, p. 7

SC194 Multispectral and Hyperspectral Image Sensors (Lomheim) 8:30 am to 12:30 pm, $410 / $470, p. 8

SC1135 Multispectral Image Fusion and Night Vision Colorization (Zheng, Blasch) 8:30 am to 12:30 pm, $395 / $455, p. 6

SC066 Fundamentals of Electronic Image Processing (Weeks) 8:30 am to 5:30 pm, $650 / $765, p. 5

SC1268 Interpreting Deep Learning Networks (Rao) 1:30 pm to 5:30 pm, $330 / $390, p. 8

SC994 Multisensor Data Fusion for Object Detection, Classification and Identification (Klein) 8:30 am to 5:30 pm, $660 / $775, p. 9

SC1072 Statistics for Imaging and Sensor Data (Bajorski) 8:30 am to 5:30 pm, $650 / $765, p. 6


DAILY COURSE SCHEDULE BY TRACKSunday Monday Tuesday Wednesday Thursday

Materials and DevicesSC1267 An Introduction to Quantum Lidar and Quantum Radar (Balaji) 8:30 am to 12:30 pm, $330 / $390, p. 4

SC504 Introduction to CCD and CMOS Imaging Sensors and Applications (Crisp) 1:30 pm to 5:30 pm, $470 / $530, p. 5

SC1258 Quantum Cryptography (Venegas-Andraca, Lanzagorta) 1:30 pm to 5:30 pm, $330 / $390, p. 4

Next Generation Sensor Systems and ApplicationsSC1266 Blockchain Technologies and Distributed Ledger Systems (Blowers) 8:30 am to 12:30 pm, $330 / $390, p. 17

SC1232 Introduction to LIDAR for Autonomous Vehicles (Shaw) 8:30 am to 12:30 pm, $330 / $390, p. 17

Optical and Optomechanical EngineeringSC014 Introduction to Optomechanical Design (Vukobratovich) 8:30 am to 5:30 pm, $1,105 / $1,370, p. 18

SC156 Basic Optics for Engineers (Boreman) 8:30 am to 5:30 pm, $625 / $740, p. 19

Snapshots: 2-Hour Courses for Non-Technical StaffSC1246 Infrared Imaging Technology Basics (Richards) 10:30 am to 12:30 pm, $185 / $210, p. 19

SC609 Basic Optics for Non-Optics Personnel (Harding) 1:30 pm to 3:30 pm, $185 / $210, p. 20

SC1269 Infrared Systems Architecture and Design for Future Market Trends (Miller) 3:30 pm to 5:30 pm, $185 / $210, p. 20

Register Early Courses and workshops have limited seating and can sell out prior to the conference. There will not be a wait list for sold out courses.Registering for a course or workshop gains you FREE admission to the exhibition. For the most up-to-date information on courses and workshops including pricing and scheduling, please refer to our website: www.spie.org/dcscourses


Materials and Devices

Quantum Cryptography NEWSC1258 • Course Level: Introductory • CEU: 0.4 $330 Members • $186 Student Members • $390 Non-Members USD Sunday 1:30 pm to 5:30 pm

Quantum cryptography is a scientific and en-gineering field devoted to harnessing physical objects whose behavior is governed by the rules of quantum mechanics to generate and distribute keys in order to convert ordinary plain text messag-es into meaningless (codified) messages and vice versa. In this paradigm, safe key distribution relies on the physical properties of quantum-mechanical systems rather than on mathematical conjectures. This course presents a succinct review of key generation & distribution and its role in symmetric and assymetric cryptography protocols, followed by a concise yet complete introduction to the BB84 and E91 quantum key distribution (QKD) protocols (this section comprises the theoretical foundations and several computer simulations of both QKD protocols). We finish this course by showing some real-world applications of QKD protocols.

LEARNING OUTCOMESThis course will enable you to:• identify the role of safe generation and

distribution of private keys in cryptography protocols.

• describe the properties of quantum mechanical systems required to build the BB84 & E91 QKD protocols.

• describe the structure and assumptions of BB84 and E91 QKD protocols.

• identify the role of QKD protocols in symmetric cryptography.

• describe some real-world applications of QKD protocols.

INTENDED AUDIENCEScientists, engineers, technicians, or managers who wish to learn more about quantum cryptog-raphy and their potential applications.

INSTRUCTORSalvador Venegas-Andraca is a scientist and entrepreneur devoted to scientific research, technology development, technology transfer and teaching. Dr. Venegas-Andraca is a Professor of Mathematics and Computer Science at Tec-nologico de Monterrey, a fellow of the Mexican Academy of Sciences, a leading scientist in the field of quantum walks as well as a cofounder of the field of Quantum Image Processing. Dr Ven-egas-Andraca has published 40 scientific papers and has authored the book Quantum Walks for Computer Scientists (2008). Dr. Venegas-Andraca holds a PhD in physics awarded by the University of Oxford and has been a visiting professor at Harvard University (USA), Bahia Blanca University (Argentina), and del Valle University (Colombia).

Marco Lanzagorta is a Research Physicist at the US Naval Research Laboratory in Washington DC. Dr. Lanzagorta is a recognized authority on the re-search and development of advanced information technologies and their application to combat and

scientific systems. Dr. Lanzagorta has over 100 publications in the areas of physics and computer science, and he authored the books Quantum Radar (2011), Underwater Communications (2012), and Quantum Information in Gravitational Fields (2014). Dr. Lanzagorta received a doctorate degree in theoretical physics from the University of Oxford. Before joining NRL, Dr. Lanzagorta was Technical Fellow and Director of the Quantum Technologies Group of ITT Exelis, and worked at the European Organization for Nuclear Research (CERN) in Switzerland, and at the International Centre for Theoretical Physics (ICTP) in Italy.

An Introduction to Quantum Lidar and Quantum Radar NEWSC1267 • Course Level: Introductory • CEU: 0.4$330 Members • $186 Student Members • $390 Non-Members USD Sunday 8:30 am to 12:30 pmThis course introduces the state-of-the-art in quantum lidars and radars and some approaches to realizing them. The relevant quantum concepts are reviewed, as are some recent experimental investigations, and performance contrasted with that of the current sensors. Anyone who wants to gain an understanding of the state-of-the-art of quantum lidar and quantum radar, and some of the possible technological routes to building practical systems, would benefit from taking this course.

LEARNING OUTCOMESThis course will enable you to:• summarize the basics of classical radars and

lidars.• summarize the current technological

approaches for classical radars and lidars.• explain basic, single-channel (coherent and

incoherent) signal processing techniques used in modern radars.

• summarize the basic approaches to multi-channel signal processing.

• explain the different types of active and passive classical radars.

• explain the basics of statistical detection theory to quantitatively compare performance of lidars/radars.

• explain the basics of quantum physics of relevance to understanding quantum radars and quantum lidars.

• summarize the classes of quantum-enhanced lidars and radars.

• summarize the key technological approaches to quantum radars.

• develop a thorough understanding of the state-of-the-art in single photon sources and detectors.

• explain the state-of-the-art in entangled photon sources.

• describe how to build quantum lidars.• describe approaches to build quantum radars.• explain the experimental results for quantum

illumination lidar.• explain the experimental setup and results for

quantum illumination radar.• identify the technological readiness levels of

different approaches to quantum lidars and quantum radars.

COURSES


INTENDED AUDIENCEScientists, engineers, technicians, or managers who wish to learn more about what is new in quantum science that is being leveraged to de-velop quantum-enhanced solutions to sensing, communication, computing. Some familiarity with matrix algebra and probability theory is assumed.

INSTRUCTORBhashyam Balaji has been developing advanced sensor signal processing, multi-target tracking and multi-sensor data fusion algorithms for operational airborne platforms for over 20 years while working at Defence R&D Canada. His recent research includes quantum information science and tech-nology, particularly in the area of quantum sensing. He obtained his Ph.D. in theoretical particle phys-ics from Boston University. Dr. Balaji is a Senior Member of the IEEE (SMIEEE) and a Fellow of the Institution of Engineering and Technology (FIET). In 2018, he received the IEEE Canada Outstanding Engineer award. He is also an Associate at the Institute of Quantum Computing, University of Waterloo, Ontario, Canada, and an Adjunct Pro-fessor in the Systems and Computer Engineering, Carleton University.

Introduction to CCD and CMOS Imaging Sensors and ApplicationsSC504 • Course Level: Introductory • CEU: 0.4$470 Members • $242 Student Members • $530 Non-Members USD Wednesday 1:30 pm to 5:30 pmThis course provides a review of general theory and operation for CCD and CMOS imaging tech-nologies looking at the development and appli-cation statuses of both. Performance differences between CMOS and CCD imaging arrays are covered. Fundamental performance limits behind major sensor operations are presented in addition to image defects, shorts, device yield, popular chip foundries, chip cost; custom designed and off-the-shelf sensors. We discuss operation principles behind popular commercial and scien-tific CMOS pixel architectures, and various array readout schemes. We cover backside illuminated arrays for UV, EUV and x-ray applications; high QE frontside illuminated sensors; deep depletion CCDs, ultra large CMOS and CCD arrays; high speed/ low noise parallel readout sensors. We describe the photon transfer technique in mea-suring performance and calibrating camera and chip systems, and charge transfer mechanisms. We review correlated double sampling theory used to achieve low noise performance and conclude with a look at future research and development trends for each technology.

LEARNING OUTCOMESThis course will enable you to:• describe operating CMOS and CCD arrays

and camera systems for commercial and scientific imaging applications

• explain how CCD and CMOS arrays are designed, fabricated, tested and calibrated

• know how to apply test methodologies and performance standards

• list specifications and requirements to select a sensor for your imaging application

• recognize performance differences between CMOS and CCD technologies

• understand how video signals are processed for optimum signal-to-noise performance

• become familiar with current and future imaging technologies and applications

INTENDED AUDIENCEThis course is for scientists, engineers, and man-agers involved with high performance CCD and CMOS imaging sensors and camera systems.

INSTRUCTORCOURSE PRICE INCLUDES the texts Scientific Charge Coupled Devices (SPIE Press, 2001), and Photon Transfer (SPIE Press, 2007) by James Janesick.

Imaging and Analytics

Fundamentals of Electronic Image ProcessingSC066 • Course Level: Introductory • CEU: 0.7 $650 Members • $336 Student Members • $765 Non-Members USD Sunday 8:30 am to 5:30 pmMany disciplines of science and manufacturing acquire and evaluate images on a routine basis. Typically these images must be processed so that important features can be measured or identified. This short course introduces the fundamentals of electronic image processing to scientists and engineers who need to know how to manipulate digital images.

LEARNING OUTCOMESThis course will enable you to:• describe image storage, acquisition, and

digitization• become familiar with image transforms such

as Fourier, Hough, Walsh, Hadamar, Discrete Cosine, and Hotelling

• explain the difference between the types of linear and non-linear filters and when to use each

• learn the difference between types of noise in the degradation of an image

• apply color image processing techniques to enhance key features in color and gray scale images

• recognize image segmentation techniques and how they are used to extract objects from an image

• explain software approaches to image processing

• demonstrate how to use the UCFImage image processing software program included with the course.

INTENDED AUDIENCEThis course will be useful to engineers and scien-tists who need to understand and use image pro-cessing techniques, but have no formal training in image processing. It will give the individual insight into a number of complex algorithms that apply to several different imaging applications.

COURSES


INSTRUCTORArthur Weeks holds an associate professor po-sition with the Dept. of Electrical and Computer Engineering at the Univ. of Central Florida. He recently left his position as a vice president of corporate technology to continue his research in image processing and bio-medical signal process-ing. He has published over 30 articles and three books in image processing.

COURSE PRICE INCLUDES the text Fundamentals of Electronic Image Processing (SPIE Press, 1996) by Arthur Weeks.

ATTENDEE TESTIMONIAL:

The instructor was very skilled at simplifying com-plex ideas.

Statistics for Imaging and Sensor DataSC1072 • Course Level: Introductory • CEU: 0.7 $650 Members • $336 Student Members • $765 Non-Members USD Sunday 8:30 am to 5:30 pmThe purpose of this course is to survey fundamen-tal statistical methods in the context of imaging and sensing applications. You will learn the tools and how to apply them correctly in a given context. The instructor will clarify many misconceptions associated with using statistical methods. The course is full of practical and useful examples of analyses of imaging data. Intuitive and geometric understanding of the introduced concepts will be emphasized. The topics covered include hy-pothesis testing, confidence intervals, regression methods, and statistical signal processing (and its relationship to linear models). We will also discuss outlier detection, the method of Monte Carlo sim-ulations, and bootstrap.

LEARNING OUTCOMES• apply the statistical methods suitable for a

given context• demonstrate the statistical significance of your

results based on hypothesis testing• construct confidence intervals for a variety of

imaging applications• fit predictive equations to your imaging data• construct confidence and prediction intervals

for a response variable as a function of predictors

• explain the basics of statistical signal processing and its relationship to linear regression models

• perform correct analysis of outliers in data• implement the methodology of Monte Carlo

simulations

INTENDED AUDIENCEThis course is intended for participants who need to incorporate fundamental statistical methods in their work with imaging data. Participants are expected to have some experience with analyzing data.

INSTRUCTORPeter Bajorski is Professor of Statistics at the Rochester Institute of Technology. He teaches graduate courses in statistics including a course

on Multivariate Statistics for Imaging Science. He also designs and teaches short courses in industry, with longer-term follow-up and consulting. He per-forms research in statistics and in hyperspectral imaging. Dr. Bajorski wrote a book on Statistics for Imaging, Optics, and Photonics published in the prestigious Wiley Series in Probability and Statistics. He is a senior member of SPIE and IEEE.

COURSE PRICE INCLUDES the text Statistics for Imaging, Optics, and Photonics (SPIE Press/Wiley, 2011) by Peter Bajorski.

Multispectral Image Fusion and Night Vision ColorizationSC1135 • Course Level: Introductory • CEU: 0.4 $395 Members • $212 Student Members • $455 Non-Members USD Wednesday 8:30 am to 12:30 pmThis course presents methods and applications of multispectral image fusion and night vision color-ization organized into three areas: (1) image fusion methods, (2) evaluation, and (3) applications. Two primary multiscale fusion approaches, image pyr-amid and wavelet transform, will be emphasized. Image fusion comparisons include data, metrics, and analytics.

Fusion applications presented include off-focal images, medical images, night vision, and face recognition. Examples will be discussed of night-vision images rendered using channel-based color fusion, lookup-table color mapping, and seg-ment-based method colorization. These colorized images resemble natural color scenes and thus can improve the observer’s performance. After taking this course you will know how to combine multiband images and how to render the result with colors in order to enhance computer vision and human vision especially in low-light conditions.

In addition to the course notes, attendees will receive a set of published papers, the data sets used in the analysis, and MATLAB code of meth-ods and metrics for evaluation. A FTP website is established for course resource access.

LEARNING OUTCOMESThis course will enable you to:• review the applications and techniques of

image fusion and night vision enhancement• categorize multiscale image fusion methods :

image pyramid vs. wavelet transform• apply quantitative vs. qualitative evaluation• investigate advanced fusion applications:

target recognition, color fusion and face recognition

• obtain an overview of colorization methods: color mapping, segment-based, and channel-based

• evaluate colorized images: qualitative vs. quantitative, and correspondence with the NIIRS (National Imagery Interpretability Rating Scale) ratings

• explore information fusion applications to a multispectral stereo face recognition systems at four levels: image, feature, score, and decision; to qualitatively evaluate performance improvement

• recognize and discuss challenges for future development and applications

COURSES


INTENDED AUDIENCEScientists, engineers, practitioners, students, and researchers who wish to learn more about how to combine multiband images to enhance computer vision and human vision for applications such as face recognition and scene understanding. Undergraduate training in engineering or science is assumed.

INSTRUCTORYufeng Zheng received his PhD in optical engi-neering/image processing from the Tianjin Uni-versity in Tianjin, China, in 1997. He is currently an associate professor at Alcorn State University in Lorman, Mississippi. He is the principle inves-tigator of several federal research grants in the areas of night vision enhancement and multi-spectral face recognition. He holds two patents in glaucoma classification and face recognition, and has published more than 70 peer-reviewed papers. His research interests include pattern recognition, biometrics, information fusion, and computer-aided detection and diagnosis. He is a Cisco Certified Network Professional (CCNP), and a senior member of SPIE, and IEEE Computer Society & Signal Processing.

Erik Blasch received his B.S. in mechanical engineering from the Massachusetts Institute of Technology in 1992 and M.S. degrees in mechan-ical engineering, health science, and industrial engineering (human factors) from Georgia Tech. He completed an M.B.A., M.S.E.E., M.S. econ, M.S./Ph.D. psychology (ABD), and a Ph.D. in electrical engineering from Wright State University and is a graduate of Air War College. From 2000-2010, Dr. Blasch was the information fusion evaluation tech lead for the Air Force Research Laboratory (AFRL) Sensors Directorate—COMprehensive Performance Assessment of Sensor Exploitation (COMPASE) Center, and adjunct professor with Wright State University. From 2010-2012, Dr. Blasch was an exchange scientist to Defence R&D Canada at Valcartier, Quebec in the Future Command and Control (C2) Concepts group. He is currently with the AFRL Information Directorate supporting information fusion developments. He received the 2009 IEEE Russ Bioengineering, , 2012 IEEE AESS Magazine Mimno, and 2014 Mil-itary Sensing Symposium Mignogna Data Fusion awards. He is a past President of the International Society of Information Fusion (ISIF), a member of the IEEE Aerospace and Electronics Systems Society (AESS) Board of Governors, and a SPIE Fellow. His research interests include target tracking, information/sensor/image fusion, pattern recognition, and biologically-inspired applications.

COURSE PRICE INCLUDES the text Multispectral Image Fusion and Colorization (SPIE Press, 2018) by Yufeng Zheng, Erik Blasch, and Zheng Liu.

Deep Learning Architectures for Defense and SecuritySC1215 • Course Level: Introductory • CEU: 0.7 $580 Members • $308 Student Members • $695 Non-Members USD Sunday 8:30 am to 5:30 pmThis course provides a broad introduction to the basic concept of the classical neural networks (NN) and its current evolution to deep learning (DL) tech-nology. The primary goal of this course is to intro-duce the well-known deep learning architectures and their applications in defense and security for object detection, identification, verification, action recognition, scene understanding and biometrics using a single modality or multimodality sensor information. This course will describe the history of neural networks and its progress to current deep learning technology. It covers several DL architec-tures such the classical multi-layer feed forward neural networks, convolutional neural networks (CNN), restricted Boltzmann machines (RBM), auto-encoders and recurrent neural networks such as long term short memory (LSTM). Use of deep learning architectures for feature extraction and classification will be described and demonstrated. Examples of popular CNN-based architectures such as AlexNet, VGGNet, GooGleNet (inception modules), ResNet, DeepFace, Highway Networks, FractalNet and their applications to defense and security will be discussed. Advanced architectures such as Siamese deep networks, coupled neural networks, auto-encoders, fusion of multiple CNNs and their applications to object verification and classification will also be covered.

LEARNING OUTCOMESThis course will enable you to:• Identify the fundamental concepts of neural

networks and deep learning.• Understand the major differences between

neural network and current deep learning architectures.

• Explain the stochastic gradient descent algorithm to train deep learning networks with different regularizations methods.

• Describe the popular CNN-based architectures (i.e., AlexNet, VGGNet, GooGleNet, ResNet).

• Compare the relative merits of various deep learning architectures, MLP, CNN, RBM and LSTM.

• Formulate CNN and auto-encoders for feature extraction.

• Demonstrate the use of deep learning framework for object, face, pedestrian detection, pose estimation and face identification.

• Differentiate between Siamese and coupled deep learning architectures and their use for object verification and identification.

• Design multiple deep learning architectures for multi-view face identification and multimodal biometrics applications.

INTENDED AUDIENCEScientists, engineers, technicians, or managers who wish to learn more about deep learning ar-chitectures and their applications in defense and security. Undergraduate training in engineering or science is assumed.

COURSES


INSTRUCTORNasser Nasrabadi is a professor in the Lane Computer Science and Electrical Engineering De-partment at West Virginia University. He was senior research scientist (ST) at US Army Research Labo-ratory (ARL). He is actively engaged in research in deep learning, image processing, automatic target recognition and hyperspectral imaging for defense and security. He has published over 300 papers in journals and conference proceedings. He has been an associate editor for the IEEE Transactions on Image Processing, IEEE Transactions on Cir-cuits and Systems for Video Technology and IEEE Transactions for Neural Networks. He is a Fellow of IEEE and SPIE.

Interpreting Deep Learning Networks NEWSC1268 • Course Level: Introductory • CEU: 0.4 $330 Members • $186 Student Members • $390 Non-Members USD Wednesday 1:30 pm to 5:30 pmDeep learning neural networks, or simply, deep neural networks (DNNs), have provided spec-tacular breakthroughs in the areas of artificial intelligence and machine learning with multiple applications in data science and analytics includ-ing scene recognition. One challenge faced by various end user communities is that of interpreting decisions made by DNNs. There is a prevalent notion of DNNs being “black boxes.” These can be particularly confounding when erroneous de-cisions are made by the DNN. However, several recent investigations have proposed methods for interpreting DNNs. Methods have also been proposed for reducing the likelihood of incorrect decisions. This course will provide insights into how these methods approach the problem and into future possibilities for interpreting DNNs.

Topics:• DNN examples: training & classification• The different definitions of interpretability• Interpreting weights of converged DNNs• Saliency maps in convolutional neural

networks (CNNs)• Layer hierarchy and interpreting layer outputs• Interpretability vs. Explainability• Interpreting DNNs through activation analysis

& deep visualization• Use of generative adversarial network models

for interpretation• Correlation across layers and networks• Sensitivity analysis and Garson’s algorithm• Relating classification to image features• DNN architectures to enable interpretability• Approaches for reducing likelihood of

erroneous decisions through rank-N classification considerations

• Future directions

LEARNING OUTCOMESThis course will enable you to:• frame the interpretability problem in deep

neural networks.• relate DNN decision making to contributions

of direct and derived features in images.• identify quantitative and qualitative

approaches to interpreting DNNs.

• explore flow modification in DNNs to enable interpretability.

• compare and interpret performance of multiple DNNs.

INTENDED AUDIENCEEngineers and scientists interested in deep neural networks. Students may benefit from having previ-ously taken SC1215 Deep Learning Architectures for Defense and Security.

INSTRUCTORRaghuveer Rao is Chief of the Image Processing Branch at the U.S. Army Research Laboratory overseeing efforts in image understanding and computer vision with applications to autonomous systems and scene perception. He was previously a professor of Electrical Engineering and Imaging Science at the Rochester Institute of Technology. His other long term and visiting appointments include Advanced Micro Devices Inc., Philips Healthcare, U.S. Naval Surface Warfare Center, U.S. Air Force Research Laboratory, the Indian Institute of Science and Princeton University. Dr. Rao is an author of multiple research publica-tions in signal processing, image processing and commumications, and has served on the editorial boards of several signal and image processing journals. He is an elected Fellow of SPIE and IEEE.

Multispectral and Hyperspectral Image SensorsSC194 • Course Level: Advanced • CEU: 0.4 $410 Members • $218 Student Members • $470 Non-Members USD Monday 8:30 am to 12:30 pmThis course will describe the imaging capabilities and applications of the principal types of multi-spectral (MS) and hyperspectral (HS) sensors. The focus will be on sensors that work in the visible, near-infrared and shortwave-infrared spectral re-gimes, but the course will touch on longwave-infra-red applications. A summary of the salient features of classical color imaging (human observation) will also be provided in an appendix.

LEARNING OUTCOMESThis course will enable you to:• understand many of the applications and

advantages of multispectral (MS) and hyperspectral (HS) imaging

• describe and categorize the properties of the principal MS / HS design types (multi-band scanner, starers with filter wheels, dispersive, wedge, and Fourier transform imagers with 2D arrays, etc.)

• list and define the relevant radiometric radiometric quantities, concepts and phenomenology

• understand the process of translating system requirements into sensor hardware constraints and specifications

• analyze signal-to-noise ratio, modulation-transfer-function, and spatial / spectral sampling for MS and HS sensors

• define, understand and apply the relevant noise-equivalent figures-of-merit (Noise-equivalent reflectance difference, Noise-equivalent temperature difference, Noise-

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equivalent spectral radiance, Noise-equivalent irradiance, etc.)

• describe the elements of the image chain from photons-in to bits-out (photon detection, video signal manipulation, analog processing, and digitization)

• list and review key imager subsystem technology elements (optical, focal plane, video electronics, and thermal)

• formulate a detailed end-to-end design example of a satellite imaging scanning HS sensor

• provide an appendix that summarizes color imaging principles and sensor associated elements for human observation applications (e.g. color television, still cameras, etc.)

INTENDED AUDIENCEEngineers, scientists, and technical managers who are interested in understanding and apply-ing multispectral and hyperspectral sensors in advanced military, civil, scientific and commercial applications.

INSTRUCTORTerrence Lomheim holds the position of Distin-guished Engineer at The Aerospace Corp. He has 34 years of hardware and analysis experience in visible and infrared electro-optical systems, focal plane technology, and applied optics, and has authored and co-authored 63 publications in these technical areas. He is a Fellow of the SPIE.

COURSE PRICE INCLUDES the text CMOS/CCD Sensors and Camera Systems, Second Edition (SPIE Press, 2011) by Terrence Lomheim and Gerald Holst.

Multisensor Data Fusion for Object Detection, Classification and IdentificationSC994 • Course Level: Introductory • CEU: 0.7 $660 Members • $340 Student Members • $775 Non-Members USD Sunday 8:30 am to 5:30 pmThis course describes sensor and data fusion methods that improve the probability of correct target detection, classification, and identification. The methods allow the combining of information from collocated or dispersed sensors that utilize similar or different operating phenomenologies. Examples provide insight as to how different phe-nomenology-based sensors enhance a data fusion system. After introducing the JDL data fusion model, sensor and data fusion architectures are described in terms of sensor-level, central-level, and hybrid fusion, and pixel-, feature-, and deci-sion-level fusion. The exploration of data fusion algorithm taxonomies provides an introduction to the algorithms and methods utilized for detection, classification, identification, and state estimation and tracking – the Level 1 fusion processes. These algorithms support the higher-level data fusion processes of situation and impact assessment. Subsequent sections of the course more fully de-velop the Bayesian, Dempster-Shafer, and voting logic data fusion algorithms. Examples abound throughout the material to illustrate the major tech-niques being presented. The illustrative problems

demonstrate that many of the data fusion methods can be applied to combine information from almost any grouping of sensors as long as the input data are of the types required by the fusion algorithm.

LEARNING OUTCOMESThis course will enable you to:• Identify multisensor data fusion principles,

algorithms, and architectures for new and existing systems

• Describe the advantages of multisensor data fusion for object discrimination and state estimation

• Summarize the attributes of sensors suitable for sensor and data fusion applications

• Identify taxonomies for target detection, classification, identification, and tracking algorithms

• Formulate sensor and data fusion approaches for many practical applications

• Define the input information required to implement the detection and classification data fusion algorithms discussed

• Acquire the skills needed to develop and apply data fusion algorithms to more complex situations

INTENDED AUDIENCEEngineers, scientists, managers, systems de-signers, military operations personnel, and other professionals concerned with multisensor data fusion for target detection, classification, and identification of airborne, ground-based, and underwater targets will benefit from this course. Undergraduate training in engineering, physics, or mathematics is assumed.

INSTRUCTORLawrence Klein specializes in developing multiple sensor systems for tactical and reconnaissance military applications and for homeland defense. His interests also include the application of sensor and data fusion concepts to intelligent transporta-tion systems. While at Hughes Aircraft Company, Dr. Klein developed missile deployment strategies and sensors used in missile guidance. As Chief Scientist at Aerojet ElectroSystems TAMS Division, he was responsible for the design and execution of programs that integrated active and passive milli-meter-wave and infrared multispectral sensors in satellites and smart “fire-and-forget” weapons. At Honeywell, he developed passive millimeter-wave midcourse missile guidance systems and millime-ter-wave sensors to trigger land mines.

In addition to the course text, Dr. Klein has au-thored Millimeter-Wave and Infrared Multisensor Design and Signal Processing (Artech House, 1997), Sensor Technologies and Data Require-ments for ITS (Artech House, 2001), Traffic Detec-tor Handbook for the Federal Highway Adminis-tration (2006), and ITS Sensors and Architectures for Traffic Management and Connected Vehicles (Taylor and Francis, 2017). He is a past reviewer for the IEEE Transactions on Antennas and Prop-agation, Transactions on Geoscience and Remote Sensing, and Transactions on Aerospace and Electronic Systems.

COURSE PRICE INCLUDES the text Sensor and Data Fusion: A Tool for Information Assessment and Decision Making, Second Edition (SPIE Press, 2012) by Lawrence A. Klein.

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Advanced Sensingand Imaging

Testing and Evaluation of E-O Imaging SystemsSC067 • Course Level: Intermediate • CEU: 0.7 $655 Members • $338 Student Members • $770 Non-Members USD Thursday 8:30 am to 5:30 pm

The test concepts presented apply to CCD/CMOS cameras, intensified CCD cameras, night vision goggles, SWIR cameras, and infrared cameras. Using a systems approach, this course describes all the quantitative and qualitative metrics that are used to characterize imaging system performance. Laboratory performance parameters discussed include resolution, responsivity, random noise, uniformity, fixed pattern noise, modulation transfer function (MTF), contrast transfer function (CTF), minimum resolvable temperature (MRT), and the minimum resolvable contrast (MRC). The eye’s spatial and temporal integration allows perception of images whose signal-to-noise ratio (SNR) is less than unity. Since most imaging systems spatially sample the scene, sampling artifacts affects all measurements and significantly affect MRT and MTF test results. Phasing effects are illustrated. Data analysis techniques are independent of the sensor selected (i.e., wavelength independent). The difference lies in the input variable name (watts, lumens, or delta-T) and the output variable name (volts, lumens, or observer response).

Field tests are extremely difficult. Differences be-tween lab and field test approaches are provided with an estimate of anticipated field results. Real world target are significantly different than labora-tory targets and the illumination is quite different. This course describes the most common laborato-ry test techniques. Equally important is identifying those parameters that adversely affect results. Believable test results depend upon specifications that are testable, unambiguous, and provide a true measure of performance.

LEARNING OUTCOMESThis course will enable you to:• write concise test procedures with

unambiguous system specifications• identify all appropriate test parameters• differentiate between observer variability

and system response during MRC and MRT testing

• describe the difference between the CTF and the MTF

• discern the difference between poor system performance, peculiarities of the system under test, and measurement errors

• assess how sampling affects test results• appreciate the benefits and shortcomings of

fully automated testing• identify parameters that can lead to poor

results• compare the differences between laboratory

and field testing

INTENDED AUDIENCEThe course is for managers, specification writers, and test engineers involved with all phases of imaging system characterization ranging from satisfying customer requirements to insuring that specifications are unambiguous and testable.

INSTRUCTORGerald Holst is an independent consultant for imaging system analysis and testing. He was a technical liaison to NATO, research scientist for DoD, and a member of the Lockheed-Martin se-nior technical staff. Dr. Holst has chaired the SPIE conference Infrared Imaging Systems: Design, Analysis, Modeling and Testing since 1989. He is author of over 30 journal articles and 6 books (published by SPIE and/or JCD Publishing). Dr. Holst is a member of OSA and is a SPIE Fellow.

COURSE PRICE INCLUDES the text Testing and Evaluation of Infrared Imaging Systems, Third Edition (SPIE Press and JCD Publishing, 2008) by Gerald C. Holst.

Head-Mounted Display Requirements and Designs for Augmented Reality ApplicationsSC1096 • Course Level: Introductory • CEU: 0.7 $590 Members • $312 Student Members • $705 Non-Members USD Monday 8:30 am to 5:30 pmThere has never been a more exciting time for augmented reality (AR). The advent of high reso-lution microdisplays, the invention of new optical designs like waveguide and freeform eyepieces, and the significant advances in optical manufac-turing techniques mean that augmented reality head mounted displays can be produced now that were not possible five years ago. Key to the development and adoption of these systems is the understanding of the fundamental requirements, derived from a human factors-centric approach to AR system design. The authors, with a combined experience of over 50 years in the design of AR sys-tems, will identify the key performance parameters necessary to understand the specification, design and selection of AR systems and help students understand how to separate the hype from reality in evaluating new AR displays. This course will evaluate the performance of various AR systems and give students the basic tools necessary to un-derstand the important parameters in augmented reality displays, whether they are designing them or purchasing them. This is an introductory class and assumes no background in head mounted displays or optical design.

This course emphasizes

LEARNING OUTCOMESThis course will enable you to:• define basic components and attributes of AR

displays• describe important features and enabling

technologies of an AR system and their impact on user performance and acceptance

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• differentiate between video and optical see-through AR systems

• identify key user-oriented performance requirements and the linkage to AR system design parameters

• list basic features of the human visual system and biomechanical attributes of the head and neck and the guidelines to follow to prevent fatigue or strain

• identify key tradeoffs for monocular, binocular and biocular systems

• classify current image source technologies and their methods for producing color imagery

• evaluate tradeoffs for critical display performance parameters

INTENDED AUDIENCESoftware developers, hardware engineers, sci-entists, engineers, researchers, technicians, or managers who wish to learn the fundamentals of the specification, design, and use of augmented reality head mounted displays.

INSTRUCTORMichael Browne is the General Manager of the Vision Products Division at SA Photonics in Los Gatos, California. He has a Ph.D. in Optical En-gineering from the University of Arizona’s Optical Sciences Center. Mike has been involved in the design, test and measurement of augmented reality systems since 1991. At Kaiser Electronics, Mike led the design of numerous augmented reality head mounted displays systems including those for the RAH-66 Comanche helicopter and the F-35 Joint Strike Fighter. Mike also invented one of the first head-mounted “virtual workstations” for interacting with data in a virtual space. Mike leads SA Photonics’ programs for the design and devel-opment of person-mounted information systems, including body-worn electronics, head-mounted displays and night vision systems. Mike’s current research includes investigations into the design of wide field of view augmented reality head mount-ed displays, binocular rivalry in head mounted displays, digital night vision and smear reduction in digital displays.

James Melzer is the Technical Director for Ad-vanced Projects at Thales Visionix, Inc, (TVI). He was previously a Technical Fellow with Rockwell Collins, where he designed head- and hel-met-mounted displays for flight, simulation, med-ical, professional and space applications for over 30 years. He holds a BS from Loyola University of Los Angeles and an SM from the Massachusetts Institute of Technology. He has extensive experi-ence in optical and displays engineering, visual human factors, and is an expert head-mounted display and sensor systems. His research inter-ests are in visual and auditory perception and in bio-inspired applications of invertebrate vision and animal navigation. He has authored over 50 tech-nical papers, books and book chapters and holds eight patents in head-mounted display design.


I was able to apply a lot of the material to my PhD research, and was also able to meet many indus-try leaders that were extreme experts in the field. Definite bonus!

3D Imaging Laser RadarSC1103 • Course Level: Introductory • CEU: 0.7 $580 Members • $308 Student Members • $695 Non-Members USD Monday 8:30 am to 5:30 pmThis course will explain the basic principles of operation and the fundamental theoretical basis of 3D imaging laser radar systems. An analytical approach to evaluation of system performance will be presented. The design and applications of 3D imaging laser radars which employ staring arrays and flying spot scanned architectures; linear, Geiger mode and heterodyne detection; pulse, amplitude, frequency and hybrid modulation formats; and advanced system architectures will be discussed. Optimization strategies and trade space boundaries will be described. Major system components will be identified and effects of the limitations of current component performance will be identified. These limitations will form the basis of a discussion of current research objectives.

LEARNING OUTCOMESThis course will enable you to:• identify the major elements of 3D imaging

laser radar systems• list important applications of laser radar• predict the performance of real or conceptual

3D imaging laser radar systems• estimate the effect of environmental factors on

system performance and image quality• estimate the effect of improved component

performance on overall system performance and image quality

• formulate system level designs for common applications

• compare the 3D imaging laser radar approaches for selected applications

• identify test requirements and strategies for 3D imaging laser radar calibration and test

INTENDED AUDIENCEEngineers, managers, scientists, and students who want to become familiar with basic principles and applications of 3D imaging laser radars or who want to be able to evaluate the performance of 3D laser radar systems.

INSTRUCTORGary Kamerman is the Chief Scientist at Fast-Metrix, Inc. He is a Fellow of the International Society for Optical Engineering, the author of “Laser Radar” in the Infrared and Electro-Optical Handbook, and the editor of the SPIE Milestone series Selected Papers on Laser Radar as well as more than 30 other volumes. He has designed, built and tested laser radars and coherent optical systems for over 30 years. He is a technical advi-sor to the United States Department of Defense, National Aviation and Space Administration, and major international corporations.


Good overview and summary of 3D Imaging LADAR for technical folks. I was hoping to gain an appre-ciation for LADAR technology and terminology to build upon my EE and optical systems background and the course delivered to my goal.

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Principles and Applications of Synthetic Aperture Radar (SAR)SC1189 • Course Level: Introductory • CEU: 0.4 $330 Members • $186 Student Members • $390 Non-Members USD Sunday 8:30 am to 12:30 pmThis course explains basic principles and applica-tions of Synthetic Aperture Radar (SAR) imaging radar. A primary goal of the course is to reveal the fundamental operating principles, basic phenome-nology, sample processing algorithms, and perfor-mance capabilities and limitations of this valuable remote sensing technology. This will include issues and trade-space in system engineering, design, and performance prediction. Applications and exploitation techniques will be presented, including topographic-mapping Interferometric SAR, Coherent Change Detection, Polarimetry, and Slow-Motion Detection (VideoSAR). Example systems and image products will be generously presented to illustrate the instructions. This course intends to answer the questions “What is SAR?” “Why SAR?” “How does it work?” “What can SAR do?” and “How well can SAR do it?”

LEARNING OUTCOMESThis course will enable you to:• explain the fundamental principles of

operation• describe the basic processing techniques

employed• describe the basics of phenomenology that

SAR can observe• appreciate the trade-space and performance

limitations of SAR with respect to resolution, geometry, and typical hardware limitations

• depict various post-processing and exploitation techniques that can be applied to SAR images, and real-world applications for these

INTENDED AUDIENCEScientists, engineers, technicians, or managers who wish to learn more about radar based imaging of land and sea surfaces. Undergraduate training in engineering or science is assumed.

INSTRUCTORArmin Doerry is a Distinguished Member of Technical Staff in the ISR Mission Engineering Department of Sandia National Laboratories. He holds a Ph.D. in Electrical Engineering from the University of New Mexico. He has worked in numerous aspects of Synthetic Aperture Radar and other radar systems’ analysis, design, and fabrication since 1987, and continues to do so today. He is a Fellow of the SPIE and has chaired the Radar Sensor Technology conference at SPIE DSS since 2008.


Good survey of SAR for non-experts. Very knowl-edgeable instructor.

Fundamentals of Infrared SensingSC1241 • Course Level: Introductory • CEU: 0.7 $735 Members • $370 Student Members • $850 Non-Members USD Sunday 8:30 am to 5:30 pmThe course covers the fundamentals of infrared sensing from first principles. Topics include in-frared optical systems, infrared materials, image quality; radiometry and flux-transfer calculations; blackbody sources and spectral distribution; ther-mal and photon detector mechanisms, spectral responsivity; sensor noise sources; sensor figures of merit (noise-equivalent power and D*); system figures of merit (detection range, noise-equiva-lent temperature difference, minimum resolvable temperature difference). We place emphasis on practical back-of-the-envelope calculations and conceptual understanding.

LEARNING OUTCOMESThis course will enable you to:• identify which materials are used in which

infrared wavelength regions• compute radiometric quantities of interest such

as Watt/cm2 given a system configuration.• compute the power distribution over

wavelength for a thermal source of a given temperature.

• distinguish detection mechanisms and their impact on spectral response and response speed.

• describe common noise sources in infrared sensors.

• compute noise-equivalent power and D* for an infrared sensor, given measured test results.

• compare sensor-level figures of merit such as detection range, NETD, and MRTD.

INTENDED AUDIENCEEngineers, scientists, or technicians who want to understand the fundamentals of infrared sensing. Only basic algebra is needed for most of the cal-culations presented; a prior background in optics, solid-state, or electronics is helpful.

INSTRUCTORGlenn Boreman is Chair of the Department of Physics & Optical Science at the University of North Carolina at Charlotte. He served as the 2017 President of SPIE, the International Society for Optics and Photonics. He received the BS in Optics from University of Rochester, and the PhD in Optics from University of Arizona. From 1984 to 2011 he was on the faculty of the University of Central Florida, where he supervised 25 PhD students to completion. Prof. Boreman is coauthor of the graduate textbooks Infrared Detectors and Systems and Infrared Antennas and Resonant Structures, and author of Modulation Transfer Function in Optical & Electro-Optical Systems and Basic Electro-Optics for Electrical Engineers. He has published more than 190 journal articles in the areas of infrared sensors and materials, optics of random media, and image-quality assessment. He is a fellow of SPIE, IEEE, the Optical Society of America, and the Military Sensing Symposium.

COURSE PRICE INCLUDES the Field Guide to Infra-red Systems, Detectors, and FPAs, Third Edition by Arnold Daniels (SPIE, 2018) and Infrared Detectors and Systems (Wiley, 1996) by Eustace L. Dereniak and Glenn D. Boreman.

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Infrared Focal Plane ArraysSC152 • Course Level: Introductory • CEU: 0.7 $580 Members • $308 Student Members • $695 Non-Members USD Sunday 8:30 am to 5:30 pmThe course presents a fundamental understanding of two-dimensional arrays applied to detecting the infrared spectrum. The physics and electronics associated with 2-D infrared detection are stressed with special emphasis on the hybrid architecture unique to two-dimensional infrared arrays.

LEARNING OUTCOMESThis course will enable you to:• develop the building blocks of 2-D arrays• explain charge transfer concepts of various

architectures• describe various input electronics circuits• discuss testing techniques used in the IR for

2-D arrays• provide an overview of current technologies• demonstrate aliasing effects• describe digital FPAs• review room-temperature thermal arrays• review uncooled photon arrays• discuss dual band arrays• discuss small pixel pitch devices• review HOT devices• compare II-VI vs. III-V devices

INTENDED AUDIENCEThis material is intended for engineers, scientists and project managers who need to learn more about two-dimensional IR arrays from a user’s point of view. It gives the student insight into the optical detection process, as well as what is available to application engineers, advantages, characteristics and performance.

INSTRUCTORJohn Hubbs is an engineer at the Infrared Radi-ation Effects Laboratory (IRREL). Dr. Hubbs has over 30 years of experience characterizing focal plane arrays (FPAs) in both clear and radiation environments. His research interests are in the areas of detectors for optical radiation and radia-tion effects on infrared focal plane arrays, which has resulted in the publication of over 75 papers. He is a Fellow of the SPIE and the Military Sensing Symposium (MSS).

Electro-Optical Imaging System PerformanceSC154 • Course Level: Intermediate • CEU: 0.7 $655 Members • $338 Student Members • $770 Non-Members USD Monday 8:30 am to 5:30 pmImaging system design and performance depend upon a myriad of radiometric, spectral, and spatial parameters. The “bare bones” sensor consists of optics, detector, display, and an observer. Range degrading parameters include 3D noise, optical blur, and pixel interpolation. Scenario parameters include detection, recognition, and identification probability, target contrast, target size, line-of-sight motion, and atmospheric conditions. Gen-erally, the customer provides the scenario and the analyst optimizes sensor parameters to achieve maximum acquisition range. A wide variety of programs have been available in the past (e.g., SSCamIP, NVThermIP etc.). These programs have been consolidated into the Night Vision Integrated Performance Model (NVIPM). For convenience, the calculations are performed in the frequency domain (MTF analysis). This is often called image chain modeling. Although the math is sometimes complex, the equations are graphed for easy interpretation. NVIPM can easily perform trade studies and provides a gradient (sensitivity) anal-ysis. Gradient analysis lists those parameters (in decreasing order) that affect acquisition range.

This course consists of 6 sections: (1) The history of imaging system design and the transition from scanning arrays to staring arrays, (2) imaging system chain analysis covering MTF theory, “bare bones” system design, environmental effects (atmospheric attenuation, turbulence, and line-of-sight motion a.k.a. jitter), sampling artifacts, and image processing, (3) detector responsivity, radiometry, various noise sources (photon, dark current, read) and the resulting SNR, (4) targets, backgrounds, and target signatures, (5) various image quality metrics which includes NVIPM, and (6) acquisition range and trade studies. By far, the most important section is the trade study graphi-cal representations. Three optimization examples are provided (case study examples): long range imaging, short range imaging, and IRST systems.

While the course emphasizes infrared system de-sign, it applies to visible, NIR, and short infrared (SWIR) systems. From an optimization viewpoint, the only difference across the spectral bands is the target signature nomenclature. When considering hardware design, the spectral region limits lens material and detector choices.

LEARNING OUTCOMESThis course will enable you to:• recognize the fundamentals of system

modeling and design• use the correct MTFs for image chain analysis• identify the subsystem (e.g., motion, optics,

detector, electronics, and display) that limits performance

• describe the limitations of range performance predictions

• appreciate the importance of trade studies• appreciate the value of graphs rather than a

table of numbers• be conversant with the myriad of technical terms

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“Instructor has a wealth of knowledge and experience in the area and was able to provide countless rules of thumb one would not ordinarily obtain from books or references.”

SC160 Precision Stabilized Pointing and Tracking Systems,

James Hilkert


INTENDED AUDIENCEThis course is intended for researchers, engineers, system designers, managers, and buyers who want to understand the wealth of information avail-able from imaging system end-to-end analysis. It is helpful if the students are familiar with linear system theory (MTF analysis).

INSTRUCTORGerald Holst is an independent consultant for imaging system analysis and testing. He was a technical liaison to NATO, research scientist for DoD, and a member of the Lockheed-Martin se-nior technical staff. Dr. Holst has chaired the SPIE conference Infrared Imaging Systems: Design, Analy¬sis, Modeling and Test¬ing since 1989. He is author of over 30 journal articles and 6 books (published by SPIE and/or JCD Publishing). Dr. Holst is a member of OSA and is a SPIE Fellow.

COURSE PRICE INCLUDES the text Electro-Optical Imaging System Performance: Staring Arrays, Sixth Edition (SPIE Press and JCD Publishing, 2017) by Gerald C. Holst.

Precision Stabilized Pointing and Tracking SystemsSC160 • Course Level: Intermediate • CEU: 0.7 $580 Members • $308 Student Members • $695 Non-Members USD Sunday 8:30 am to 5:30 pmThis course provides a practical description of the design, analysis, integration, and evaluation pro-cesses associated with development of precision stabilization, pointing and tracking systems. Major topics include stabilized platform technology, electro-mechanical system configuration and analysis, and typical pointing and tracking system architectures.

LEARNING OUTCOMESThis course will enable you to:• acquire the terminology of stabilization,

pointing, and tracking systems and understand the common system architectures and operation

• define typical electro-mechanical configurations and key sub-systems and components used in precision stabilization and laser pointing systems

• describe the primary systems engineering tradeoffs and decisions that are required to configure and design stabilization, pointing and tracking systems

• distinguish the performance capabilities of specific design configurations

INTENDED AUDIENCEThis material is designed for engineers and manag-ers responsible for design, analysis, development, or test of electro-optical stabilization, pointing and tracking systems or components. A minimum BS degree in an engineering discipline and familiarity with basic control systems is recommended.

INSTRUCTORJames Hilkert is president of Alpha-Theta Tech-nologies, an engineering consulting firm specializ-ing in precision pointing, tracking and stabilization applications for clients such as Raytheon, General Dynamics, Northrop Grumman, DRS, Atlantic Positioning and the U.S. Navy. Prior to founding Alpha-Theta Technologies in 1994, he spent 20 years at Texas Instruments Defense Systems (now Raytheon) where he designed inertial tracking and pointing systems for a variety of military appli-cations and later managed the Control Systems Technology Center. He received the Dr. Engineer-ing degree from Southern Methodist University and MSME and BSME degrees from Mississippi State University, is a member of ASME, AIAA and SPIE, and is currently a member of the faculty at The University of Texas at Dallas where he teaches courses on Dynamics and Control Systems.

NIR and SWIR Imaging ApplicationsSC710 • Course Level: Introductory • CEU: 0.4 $385 Members • $208 Student Members • $445 Non-Members USD Sunday 1:30 pm to 5:30 pm

This course provides attendees with an overview of the diverse range of applications for NIR and SWIR imaging systems and how these systems are calibrated and characterized. The emphasis is on the capabilities of InGaAs and InSb sensors operating in the 0.7 to 3.0 micron NIR and SWIR bands with discussions of optics and tunable filter technology. Discussion will also include extended InGaAs and VisGaAs, a sensor material with both visible and NIR response.

LEARNING OUTCOMESThis course will enable you to:• learn about the many applications for NIR/

SWIR imaging technology • specify a detector type and optics for various

NIR/SWIR applications• calibrate NIR/SWIR camera systems and

characterize their performance• understand spectral selection in the NIR/SWIR

bands

INTENDED AUDIENCEThis material is intended for anyone wishing to become familiar with NIR/SWIR technology and imaging applications.

INSTRUCTORAustin Richards is a senior research scientist at FLIR Systems in Santa Barbara, CA. He holds a PhD in astrophysics from UC Berkeley, and has worked in the commercial infrared industry for over 18 years. He is also the principal of Oculus Photonics, a small company devoted to near-ultra-violet imaging systems manufacturing, sales and support. Richards is the author of the SPIE mono-graph Alien Vision: Exploring the Electromagnetic Spectrum with Imaging Technology.

COURSE PRICE INCLUDES the text Alien Vision: Exploring the Electromagnetic Spectrum with Imag-ing Technology, Second Edition (SPIE Press, 2011) by Austin A. Richards.

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Introduction to Optical and Infrared Sensor SystemsSC789 • Course Level: Introductory • CEU: 0.7 $580 Members • $308 Student Members • $695 Non-Members USD Wednesday 8:30 am to 5:30 pmThis course provides a broad introduction to op-tical (near UV-visible) and

infrared sensor systems, with an emphasis on sys-tems used in defense and security. Topics include both passive imagers and active laser radars (lidar/ladar). We begin with a discussion of radiometry and radiometric calculations to determine how much optical power is captured by a sensor system. We survey atmospheric propagation and phenomenology (absorption, emission, scattering, and turbulence) and explore how these issues affect sensor systems. Finally, we perform signal calculations that consider the source, the atmo-sphere, and the optical system and detector, to arrive at a signal-to-noise ratio for typical passive and active sensor systems. These principles of optical radiometry, atmospheric propagation, and optical detection are combined in examples of real sensors studied at the block-diagram level. Sensor system examples include passive infrared imagers, polarization imagers, and hyperspectral imaging spectrometers, and active laser radars (lidars or ladars) for sensing distributed or hard targets. The course organization is approximately one third on the radiometric analysis of sensor systems, one third on atmospheric phenomenology and detector parameters, and one third on example calculations and examination of sensor systems at the block-diagram level.

LEARNING OUTCOMESThis course will enable you to:• explain and use radiometry for describing and

calculating the flow of optical energy in an optical or infrared sensor system

• determine the radiometric throughput of sensor systems

• describe atmospheric phenomenology relevant to propagation of optical and infrared radiation

• explain how the atmosphere affects the performance of sensor systems

• use detector parameters with radiometric calculations to predict the signal received by passive and active sensors

• calculate signal-to-noise ratio for typical sensor systems

• explain real-world sensor systems at the block-diagram level

• explain the difference between and important concepts of passive reflection-based and emission-based imaging

• describe the basic operating principles of passive imagers and active laser radar (lidar/ladar) systems for distributed and solid target sensing

INTENDED AUDIENCEScientists, engineers, technicians, or managers who find themselves working on (or curious about) optical (uv-vis) and infrared sensor systems with-out formal training in this area. Undergraduate training in engineering or science is assumed.

INSTRUCTORJoseph Shaw has been developing optical remote sensing systems and using them in environmen-tal and military sensing for two decades, first at NOAA and currently as professor of electrical engineering and physics at Montana State Univer-sity. Recognition for his work in this field includes NOAA research awards, a Presidential Early Career Award for Scientists and Engineers, and the World Meteorological Organization’s Vaisala Prize. He earned a Ph.D. in Optical Sciences at the University of Arizona. Dr. Shaw is a Fellow of both the OSA and SPIE.

Uncooled Thermal Imaging Detectors and SystemsSC900 • Course Level: Intermediate • CEU: 0.7$625 Members • $326 Student Members • $740 Non-Members USD Monday 8:30 am to 5:30 pmThe success of uncooled infrared imaging in com-mercial and military markets has greatly increased the number of participants in the field, and, con-sequently, the variety of products available and in development. The intent of this course is to provide attendees a broad view of the field as well as an in-depth look at important technologies. The course describes the fundamentals of uncooled IR imaging arrays, emphasizing resistive bolometric and ferroelectric/pyroelectric detectors, but also including a number of innovative technologies such as thermally activated cantilevers, thin films with temperature-dependent optical transmission properties, and thermal-capacitive detectors. Students will learn the fundamentals of uncooled IR sensors, how the various technologies oper-ate, the merits and deficiencies of the different technologies, quantitative metrics for evaluating and comparing performance, and how key factors influence those metrics. The course also explores the limits of performance of uncooled IR imaging, as well as trends to be expected in future products.

To increase the utility of the material, this course has been updated to provide a step-by-step over-view of on selecting the type and characteristics of an uncooled Focal Plane Array (FPA) for an example system.

LEARNING OUTCOMESThis course will enable you to:• describe the operation of uncooled IR

detectors and basic readout circuits• evaluate performance in terms of responsivity,

noise, noise equivalent temperature difference, minimum resolvable temperature, and response time

• gauge the fundamental limits to their performance, including temperature-fluctuation noise and background fluctuation noise

• compare theory with measured performance of the uncooled arrays

• evaluate practical issues and limitations of current technology

• ascertain the state of development of new IR technologies by asking the right questions

• differentiate well-developed concepts from ill-conceived notional concepts

COURSES


• identify the uncooled IR technology best suited to your needs

• assess the performance potential of novel IR imaging technologies

• evaluate quantitatively the performance of a wide variety of uncooled IR detectors

• summarize construction details from the technical literature.

• select the type and characteristics of an uncooled FPA for an example system

INTENDED AUDIENCEThis material is intended for engineers, scientists, and managers who need a background knowl-edge of uncooled IR technologies, for those who need to be able to evaluate those technologies for usefulness in particular applications, and for those working in the field who wish to deepen their knowledge and understanding. Anyone concerned with current and future directions in thermal imaging or involved in the development of IR detector technology or advanced uncooled IR system concepts will find this course valuable. The course has a significant mathematical content designed to illustrate the origin of the principles involved, but knowledge of the mathematics is not required to understand the concepts and results.

INSTRUCTORCharles Hanson has a Ph.D. in theoretical phys-ics from Georgetown University. Having retired as CTO of L-3 Infrared Products in 2011, he now consults and works short-term projects related to thermal imaging. He has held government and industrial positions in infrared imaging for more than 45 years. He is a past chairman of Military Sensing Symposia (MSS) Passive Sensors and is presently co-chair of the SPIE Infrared Technology and Applications conference.

COURSE PRICE INCLUDES the text Uncooled Thermal Imaging Arrays, Systems, and Applications (SPIE Press, 2001) by Paul Kruse.

Infrared Imaging RadiometrySC950 • Course Level: Advanced • CEU: 0.7 $580 Members • $308 Student Members • $695 Non-Members USD Thursday 8:30 am to 5:30 pmThis course will enable the user to understand how an infrared camera system can be calibrated to measure radiance, radiant intensity and apparent temperatures of targets and scenes, and how the camera’s digital data is converted into radio-metric data. The user will learn how to perform their own external, “by hand” calibrations on a science-grade infrared camera system using area or cavity blackbodies and an Excel spreadsheet provided by the instructor. The influences of lens-es, ND and bandpass filters, windows, emissivity, reflections and atmospheric absorption on the sys-tem calibration will be covered. The instructor will use software to illustrate these concepts and will show how to measure emissivity using an infrared camera and how to predict system performance outside the calibration range.

LEARNING OUTCOMESThis course will enable you to:• classify the measurement units of radiometry

and thermography• describe infrared camera transfer functions -

electrical signal output versus radiance signal input

• determine which cameras, lenses and both cold and warm filters to select for your application

• assess effects of ND filters and bandpass filters on calibrations, and calculate which ND warm filter you need for a given temperature range of target

• perform radiometric calibration of camera systems using cavity and area blackbodies

• convert raw data to radiometric data, and convert radiometric data to temperatures

• measure target emissivity and calibrate emissivity into the system

• gauge and account for reflections and atmospheric effects on measurements

INTENDED AUDIENCEThis material is intended for engineers, scientists, graduate students and range technicians that are working with science-grade infrared cameras in the lab, on military test ranges, or similar situations.

INSTRUCTORAustin Richards is a senior research scientist at FLIR Commercial Vision Systems in Santa Barbara, and has specialized in scientific applications of infrared imaging technology for over 18 years. He holds a Ph.D. in astrophysics from UC Berkeley and is the author of the SPIE monograph Alien Vision: Exploring the Electromagnetic Spectrum with Imaging Technology.


This course covered exactly what I expected, and the instructor was very careful to help everyone understand the material.

Excellent course. Exactly what I was interested in learning.

COURSES

“Instructor was outstanding & really knows how to break down information.”

SC1232 Introduction to LIDAR for Autonomous Vehicles,

Joseph Shaw


Next Generation Sensor Systems and Applications

Introduction to LIDAR for Autonomous VehiclesSC1232 • Course Level: Introductory • CEU: 0.4 $330 Members • $186 Student Members • $390 Non-Members USD Thursday 8:30 am to 12:30 pmThis course provides an introduction to the exciting and rapidly growing field of light detection and ranging (LIDAR) on autonomous vehicles. The rapid growth of new lasers and detectors, along with miniaturization of computers and high-speed data acquisition systems, is opening many new op-portunities for LIDAR systems in applications that require smaller and more portable instruments. Since the invention of LIDAR in the 1960s, systems have evolved from large instruments mounted in unmovable laboratories or on trucks and trailers, to smaller and dramatically more portable instru-ments. This course reviews the basic principles that govern the design of any LIDAR system, emphasizing how these principles can be used to design and analyze small, portable LIDAR systems uniquely tailored to guiding and performing remote sensing measurements from autonomous vehicles on the road, in the air, and in the water.

LEARNING OUTCOMESThis course will enable you to:• explain the parameters that determine the size

and weight of a LIDAR system.• identify application-specific requirements that

drove the design of state-of-the-art LIDAR systems for use in emerging applications.

• describe the advantages and disadvantages of staring and scanning LIDAR systems.

• estimate the maximum detectable range and the range resolution for a LIDAR instrument.

• distinguish between various LIDAR system designs for use on autonomous vehicles.

• compare advantages and disadvantages of different designs for small, portable LIDAR systems.

• recognize key technologies to watch or work on for achieving your dream miniature LIDAR.

INTENDED AUDIENCEEngineers, scientists, technicians, or managers who want to understand how LIDAR works and what limits the size and capabilities of LIDAR in-struments used for autonomous vehicles and other emerging applications. Undergraduate training in engineering or science is assumed.

INSTRUCTORJoseph Shaw has been developing and using optical remote sensing systems since 1989, first at NOAA and currently as professor of optics, electrical engineering, and physics at Montana State University. He has published about and patented LIDAR designs for applications ranging from traditional atmospheric measurements to nontraditional applications such as monitoring insects in flight. Recognition for his work includes NOAA research awards, a Presidential Early Career Award for Scientists and Engineers, and

the World Meteorological Organization’s Vaisala Prize. He earned a Ph.D. in Optical Sciences at the University of Arizona. Dr. Shaw is a Fellow of both the OSA and SPIE. He believes that learning should be fun and uses that belief in designing and presenting courses.

Blockchain Technologies and Distributed Ledger Systems NEWSC1266 • Course Level: Introductory • CEU: 0.4 $330 Members • $186 Student Members • $390 Non-Members USD Wednesday 8:30 am to 12:30 pmThis course will explore such concepts as; hy-per-ledger and distributed ledger architectures, cryptography/hashing/encryption algorithms, game theory, crowd sourcing, consensus algo-rithms, closed and open architectures, advanced hardware architectures (such as the graphics pro-cessing units of the of the cryptocurrency mining equipment), smart-contracts, and centralized vs distributed autonomous authority.

In addition to the traditional blockchain architec-tures, this course will cover the explosive interest in smart contract constructs that have been enabled by such things as the Ethereum Network and have been key enablers of Distributed Autonomous Organizations. Discussions will focus on some novel applications of these concepts as well as the Initial Coin Offerings (ICO’s) which are empower-ing a new wave of entrepreneurs seeking venture capitalist funding.

Students in the class will gain some hands-on experience with a smart contract through a framework known as The Distributed Autonomous Classroom, developed by DAX LLC. This tool offers an innovative classroom and training framework that is designed to educate a training community on the potential of blockchain technologies and distributed ledger systems through an experiential learning environment. In this framework, we will use the blockchain to teach the blockchain.

Finally, the class will discuss the convergence of Artificial Intelligence with Blockchain and lead some discussions about the next generation of disruptive technologies in IoT and beyond.

To conclude, we will discuss when it is appropriate and beneficial to use blockchain technologies vs the more traditional P2P security and communi-cations protocols that have successfully secured numerous communication systems and distributed architectures.

LEARNING OUTCOMESThis course will enable you to:• describe the historical drivers behind the

development of blockchain architectures and distributed ledger tech (DLT).

• describe the impact of cryptocurrencies on the global world market.

• compare and contrast the various classes of cryptocurrencies and cryptocurrency exchanges.

• evaluate the benefits of stateless finance systems. Decipher the ethical considerations of stateless finance systems.

COURSES


• describe how to set up a bitcoin wallet, bitcoin miner, and evaluate the pros and cons of mining independently vs mining with a mining pool.

• identify and recognize emerging blockchain technologies in various non-cryptocurrency-based applications (IoT, Embedded Systems, Communications Networks, Smart Contracts, and others).

• explain the potential of smart contracts as enablers for intelligent, secure, distributed architectures.

• identify when a blockchain architecture is NOT necessary and traditional security protocols provide better solutions.

INTENDED AUDIENCEMembers of the community who have a basic understanding of computers and computer al-gorithms.

INSTRUCTORMisty Blowers , Phd. is the founder and CEO of Datalytica LLC and an Adjunct Professor of Block-chain Technology and Distributed Ledger Systems at George Mason University. She combines a mul-tifaceted experience base with a proven ability to launch new initiatives to promote technology and lead the strategic vision of the US DoD and Intel-ligence Communities. She is recognized globally for her contributions to the fields of autonomy, advanced cybersecurity strategies, and for her ability to educate a global community on future disruptive technologies in information sciences. Blowers previously worked in cyber operations applied research at the United States Air Force Research Laboratory in Rome, NY where she successfully developed and applied a patented machine learning based approach to autono-mously monitor and provide actionable alerts to operators in real time complex systems. In 2018 she was appointed to lead a NATO task force on Mission Assurance of Autonomous Unmanned Systems where she guides the strategic direction, identifies capability gaps and risk, and unifies an international community of experts in the field of autonomous systems to ensure success of future allied military operations. She has directed over $175 million in robust cyber security research portfolios across the US Army, Navy, and Air Force Research Laboratories. Her book, entitled “Evolution of Cyber Operations and Technologies to 2035”, sold over 7000 copies in the first year and highlighted the implications and challenges of cyber operations in future military systems.

Optical and OptomechanicalEngineering

Introduction to Optomechanical DesignSC014 • Course Level: Introductory • CEU: 1.3 $1,105 Members • $578 Student Members • $1,370 Non-Members USD Sunday - Monday 8:30 am to 5:30 pmThis course will provide the training needed for the optical engineer to work with the mechanical features of optical systems. The emphasis is on providing techniques for rapid estimation of opti-cal system performance. Subject matter includes material properties for optomechanical design, kinematic design, athermalization techniques, window design, lens and mirror mounting.

LEARNING OUTCOMESThis course will enable you to:• select materials for use in optomechanical

systems• determine the effects of temperature changes

on optical systems, and develop design solutions for those effects

• design high performance optical windows• design low stress mounts for lenses• select appropriate mounting techniques for

mirrors and prisms• describe different approaches to large and

lightweight mirror design

INTENDED AUDIENCEEngineers who need to solve optomechanical design problems. Optical designers will find that the course will give insight into the mechanical aspects of optical systems. The course will also interest those managing projects involving op-tomechanics. SPIE live course SC690 Optical System Design: Layout Principles and Practice or online course SC1102 Optical System Design: First Order Layout - Principles and Practices , or a firm understanding of their content, is required as background to this course.

INSTRUCTORDaniel Vukobratovich is a senior principal engi-neer at Raytheon. He has over 30 years of experi-ence in optomechanics, is a founding member of the SPIE working group in optomechanics, and is fellow of SPIE. He has taught optomechanics in 11 countries, consulted with over 50 companies and written over 50 publications in optomechanics.

This course is also available in online format .


Class was excellent! I learned far more than I an-ticipated. Daniel Vukobratovich seems incredibly knowledgeable about a wide range of optomechan-ical topics and was able to answer questions and provide examples that were relevant and engaging.

COURSES


Basic Optics for EngineersSC156 • Course Level: Introductory • CEU: 0.7$625 Members • $326 Student Members • $740 Non-Members USD Monday 8:30 am to 5:30 pmThis course introduces each of the following basic areas of optics, from an engineering point of view: geometrical optics, image quality, flux transfer, sources, detectors, and lasers. Basic calculations and concepts are emphasized.

LEARNING OUTCOMESThis course will enable you to:• compute the following image properties: size,

location, fidelity, brightness• estimate diffraction-limited imaging

performance• explain optical diagrams• describe the factors that affect flux transfer

efficiency, and their quantitative description• compute the spectral distribution of a source• describe the difference between photon and

thermal detectors• calculate the signal to noise performance of a

sensor (D* and noise equivalent power)• differentiate between sensitivity and

responsivity• explain the main factors of laser beams:

monochromaticity, collimation, and propagation

INTENDED AUDIENCEThis class is intended for engineers, technicians, and managers who need to understand and apply basic optics concepts in their work. The basics in each of the areas are covered, and are intended for those with little or no prior background in optics, or for those who need a fundamental refresher course.

INSTRUCTORGlenn Boreman is Chair of the Department of Physics & Optical Science at the University of North Carolina at Charlotte. He served as the 2017 President of SPIE, the International Society for Optics and Photonics. He received the BS in Optics from University of Rochester, and the PhD in Optics from University of Arizona. From 1984 to 2011 he was on the faculty of the University of Central Florida, where he supervised 25 PhD students to completion. Prof. Boreman is coauthor of the graduate textbooks Infrared Detectors and Systems and Infrared Antennas and Resonant Structures, and author of Modulation Transfer Function in Optical & Electro-Optical Systems and Basic Electro-Optics for Electrical Engineers. He has published more than 190 journal articles in the areas of infrared sensors and materials, optics of random media, and image-quality assessment. He is a fellow of SPIE, IEEE, the Optical Society of America, and the Military Sensing Symposium.

COURSE PRICE INCLUDES the text Basic Elec-tro-Optics for Electrical Engineers (SPIE Press, 1998) by Glenn D. Boreman.

This course is also available in online format

Snapshots: 2-Hour Coursesfor Non-Technical Staff

Infrared Imaging Technology BasicsSC1246 • Course Level: Introductory • CEU: 0.2 $185 Members • $114 Student Members • $210 Non-Members USD Monday 10:30 am to 12:30 pmFrom near-infrared security cameras above your front door, to thermal infrared camera accesso-ries that mount to smartphones, infrared imaging technology is everywhere in 2017. But there is still confusion and misinformation about what it is and what it can and cannot do. This 2-hour, high-level introduction to the topic, with minimal math or physics knowledge required, is for the growing number of non-specialists who need to understand infrared imaging technology and its many applications. The presentation materials consist of infrared images from the instructor’s extensive library, the stories these images tell us, how they are made and how the technology and the phenomena it captures relates to the more familiar realm of visible-light cameras and human vision.

LEARNING OUTCOMESThis course will enable you to:• discuss infrared imaging technology with

engineers, scientists, and customers.• explain and understand the terminology of

infrared radiation science and technology• explain understand how object emit and

reflect infrared energy and how cameras detect it

INTENDED AUDIENCEExecutives, personnel in sales and business development, and non-technical employees of companies that make infrared cameras

INSTRUCTORAustin Richards is a senior research scientist at FLIR Systems in Santa Barbara, CA. He holds a PhD in astrophysics from UC Berkeley, and has worked in the commercial infrared industry for over 18 years. He is also the principal of Oculus Photonics, a small company devoted to near-ul-traviolet imaging systems manufacturing, sales and support. Richards is the author of the SPIE monograph <i<Alien Vision: Exploring the Electro-magnetic Spectrum with Imaging Technology</i<.

COURSES


Infrared Systems Architecture and Design for Future Market Trends NEWSC1269 • Course Level: Introductory • CEU: 0.2 $185 Members • $114 Student Members • $210 Non-Members USD Monday 3:30 pm to 5:30 pmThis course explains basic technology and new market trends for infrared sensors for commercial and military applications. The course starts with a brief introduction to Infrared physics, phenome-nology and history. Typical systems architectures will be discussed and how they may be changed by emerging technologies. The difficulties and barriers of introducing a new technology into Infrared cameras and systems will be covered. Potential disruptive technologies and embryonic technologies will be described, forecasted and applied to future markets and applications. New emerging applications and markets that are un-touched, or little penetrated by the technology will be described, and the barriers that have prevented this technology to sufficiently enter these markets. The subject matter concentrated on infrared im-agers (both commercial and military); although the images may not be presented to a human, but a computer, car or robot. Some non-imaging systems such as IRSTs, hyperspectral and sparse FPAs for certain applications are also discussed. Classic IR spectrometry, near-IR (as detected by silicon) and IR microscopy are not addressed.

LEARNING OUTCOMESThis course will enable you to:• describe the emerging technologies.• explain the current and future market forces.• identify the role of potentially disruptive

technologies to the infrared imaging industry.• be familiar with new potential applications.• explain the top-level state of the art infrared

technology for commercial and military systems.

• describe the developing technology trends.• summarize the existing and future marketing

trends and judge how this will impact commercial and military products.

• Identify embryonic technologies that are potentially disruptive and judge what existing technologies are threatened.

INTENDED AUDIENCEExecutives, sales, scientists, engineers, and managers who wish to learn more and understand how technology trends and market forces are and will interact in the future of the infrared imaging industry. Especially those that have less than 10 years of experience in the industry.

INSTRUCTORJohn Lester Miller is a SPIE Fellow and has 39 years of experience in the design, development and marketing of infrared systems for commercial, military, industrial and scientific applications. He has worked at Mt. Wilson & Palomar Observatories, Rockwell International, NASA’s Infrared Telescope Facility (on Mauna Kea), Lockheed Martin, and was with FLIR systems for 19 years including serving as Chief Technology Officer for FLIR’s Government Division. He joined FLIR when it had sales of $35 million per year, and left when it had reached $1.6 billion. He is now CTO of Episensors and founder of Cascade Electro Optics, and sits on several boards of directors for photonic companies. He has written more than 100 papers, and four books on electro-optical technology, holds 8 patents and served as an expert witness in federal court and regularly consults. John is a conference co-chair for SPIE’s “Infrared Technology and Application conference”, sits on SPIE’s executive committee and previously the Military Sensor Symposium’s Passive and National program committee. He has degrees in Physics, Astronomy and an MBA in management of technology.

Basic Optics for Non-Optics PersonnelSC609 • Course Level: Introductory • CEU: 0.2 $185 Members • $114 Student Members • $210 Non-Members USD Monday 1:30 pm to 3:30 pmThis course will provide the technical manag-er, sales engineering, marketing staff, or other non-optics personnel with a basic, non-mathemat-ical introduction to the terms, specifications, and concepts used in optical technology to facilitate effective communication with optics professionals on a functional level. Topics to be covered include basic concepts such as imaging, interference, diffraction, polarization and aberrations, definitions relating to color and optical quality, and an over-view of the basic measures of optical performance such as MTF and wavefront error. The material will be presented with a minimal amount of math, rather emphasizing working concepts, definitions, rules of thumb, and visual interpretation of speci-fications. Specific applications will include defin-ing basic imaging needs such as magnification, depth-of-field, and MTF as well as the definitions of radiometric terms.

LEARNING OUTCOMESThis course will enable you to:• read optical system descriptions and papers• ask the right questions about optical

component performance• describe basic optical specifications for

lenses, filters, and other components• assess differences in types of filters, mirrors

and beam directing optics• describe how optics is used in our everyday

lives

COURSES


INTENDED AUDIENCEThis course is intended for the non-optical profes-sional who needs to understand basic optics and interface with optics professionals.

INSTRUCTORKevin Harding has been active in the optics in-dustry for over 38 years, and has taught machine vision and optical methods for over 30 years in over 70 workshops and tutorials, including engi-neering workshops on machine vision, metrology, NDT, and interferometry used by vendors and system houses to train their own engineers. He has been recognized for his leadership in optics and machine vision by the Society of Manufacturing Engineers, Automated Imaging Association, and Engineering Society of Detroit. Kevin is a Fellow of SPIE and was the 2008 President of the Society.

This course is also available in online format.

COURSES

INSTRUCTOR SPOTLIGHTS

Austin Richards, Senior Research Scientist FLIR Systems Inc.

Austin is teaching three courses again in

2019 and has received high praise for his instruction.

SC950 Infrared Imaging RadiometryInstructor was very knowledgeable. He brought a lot of real world experience and examples. Enjoyed the class very much.

SC710 NIR and SWIR Imaging ApplicationsExcellent instructor, answered questions expertly and concisely, encouraged discussions.

SC1246 Infrared Imaging Technology BasicsInstructor Austin Richards was excellent; clear; informed, and concise. The course material was interesting, well presented, and educating.

Daniel Vukobratovich, Senior Principal Engineer, Raytheon

SC014: Introduction to Optomechanical Design

The instructor was fantastic! The course was extremely well-organized, clear, and informative.

Amazing lecture! The content of this course is incredibly collected and presented.

The Professor is a rare combination of Physicist and “Hands On” mechanical engineer. He also shares his interesting life experiences and involvement of the subject.

Education

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