From Beijing 2008 to Melbourne 2012 to Prague 2016 - Trends in Photogrammetry and Remote Sensing –

RACURS Conference 2013 in Fontainebleau, France September 23 – 26, 2013

Presentation by Gottfried Konecny

Leibniz University Hannover, Germany

1. Since the foundation of ISPRS in 1910 , 22 International Congresses in Photogrammetry and Remote Sensing took place ; now they arescheduled every 4 years

2. These Congresses document the progress of the discipline

3. Progress is measured by 3 indicators:- tasks- traditions- tools

4. The tasks remained unchanged since 1850 photogrammetry began- to record, interpret and measure the environment by images,- this was required to obtain local, regional and global geoinformation,

too costly and too time consuming to obtain by other means

5. Mapping became of such relevance around 1900, that a mapping

profession was created 1910, the tradition of photogrammetry; but ISP(RS) already had1910 had a section of „non-topgraphic photogrammetry“.

6. While photogrammetry still is considered as a geodetic discipline, it continues to be of service to many disciplines from archaeology , engineering, medicine

7. The tools changed in 1900 from manual graphics to mechanical instruments in 1910, to multispectral sensors in the 1950´s, to computers and space technology in the 1960´s. to digital tools for automation in the 1990´s for mapping

8. The development of these tools resulted in a duplication of effort with the computer vision community, which needed the tools for non topographic tasks

9. However, photogammerists of the new generation are in the process and have been able to master computer vision tools

10. This scenario will continue, since the tasks to record, analyze,classify and measurethe environment in realtime still offer an immense challenge

11. The changes between Beijing 2008 to Prague 2016 clearly demonstrate thechange of tools:

12. New Optical Sensors- digital high resolution cameras- digital medium resolution low cost cameras with oblique uses- laser scanners supplemented by optical imaging

13. New Range of Platforms- high resolution satellites with high capacity for global coverage- satellite constellations for high temporal coverage- small low cost satellites- UAV´s- terrestrial applications from mobile vans

14. New Non Optical Sensors and Hyperspectral Sensors- radar (TerraSar X, Cosmo Skymed, Tandem X)- Enmap

15. Automation of the Processing Chain- Utramap- Pixel Factory

16. 3D databases

17. Automatic or Semiautomatic feature extraction

18. Improvement in the Speed and Quality of Mapping- Google Earth, Google Maps, Google Street View, Google Ground Truth- Bingmaps- Yandex

19. Intergovernmental efforts- UNGGIM (integration of geodata with statistics)- GEO (environmental research by ESA Copernicus Sentinels)

To 12: Digital High Resolution Cameras

Hexagon ADS 100, DMC II, RCD Microsoft Vexcel UltraCAM Eagle

Visionmap A3

To 12:Digital (Medium Resolution) Oblique Cameras

IGI Penta DigiCAM Microsoft Vexcel UltraCam Osprey

To 12:

Laser Scanners supplemented with optical cameras

airborne

terrestrial

To 13:

High Resolution Optical Satellites with high capacity

To 13:

Satellite Constellations for high temporal coverage

2 of 5 Rapideye Satellitesorbiting in constellationto permit daily coverageof scenes

To 13:Small Low Cost Satellites:

To 13:UAV´s:

To 13:Mobile Vans:

Google Streetmap:

To 14:

Radar:

TerraSAR XCosmo-SkymedTanDEM X

To 14:

Enmap hyperspectral imaging satellite (Germany)

simulation

       2 sensors:1)420 to 1000 nm 2)SWIR 900 to 2450 nm

244 channels, 30m GSD

launch planned 2015

To 15:

Automation of the Processing ChainPixel Factory™, the industrial-scale geo-production system developed by Astrium GEO-Information Services, generates high-level 2D and 3D mapping products thanks to a revolutionary processing chain designed to handle all kinds of Earth-observation data.

Space Factory (SPOT Mosaic of Spain)

Sky Factory (Germany) Street Factory (Marseille)

To 15:

Automation of the Processing Chain

Microsoft Vexcel Ultramap

To 15:

Matching Algorithms, Point Clouds, Semi Global Matching

Dense Matching

To 16:

3D Databaseswe have in general 2D databases& 3D data models

we have 3D city modelsfor viewers, but not forobject generation except for projects, even if there appears to be a need

Large civil engineering projects

Different 3D applications

Source: Prov NB

Source: RWS

Utilities Management

Courtesy to Rotterdam municipality

To 17:

Automated Feature Extraction

reference : Prof. Heipke

To 18:

Improvement in the Speed of Mapping as practiced by Yandex

high resolutionsatellite image

geocodingwith GNSS,mapping  ofbuildings, water,roads and parks

adding names

To 19:

Intergovernmental Efforts

establishment of UNGGIMUN Secretariat, New York

Integration of Geoinformation and StatisticsStudies on the Status of MappingLand Cover Monitoring

establishment of GEOGroup on Earth Observations, Geneva

Disaster Risk ManagementInternational Charter on Satellite Data Exchange by Space Agencies via UN-OOSA