Transcript From Beijing 2008 to Melbourne 2012 to Prague 2016 - Trends in Photogrammetry and Remote Sensing – RACURS Conference 2013 in Fontainebleau,

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 are
scheduled 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 had
1910 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 measure
the environment in realtime still offer an immense challenge
11. The changes between Beijing 2008 to Prague 2016 clearly demonstrate
the
change 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
Visionmap A3
Microsoft Vexcel UltraCAM Eagle
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 Satellites
orbiting in constellation
to permit daily coverage
of scenes
To 13:
Small Low Cost Satellites:
To 13:
UAV´s:
To 13:
Mobile Vans:
Google Streetmap:
To 14:
Radar:
TerraSAR X
Cosmo-Skymed
TanDEM X
To 14:
Enmap
hyperspectral imaging satellite (Germany)
2 sensors:
1) 420 to 1000 nm
2) SWIR 900 to 2450 nm
244 channels, 30m GSD
launch planned 2015
simulation
To 15:
Automation of the Processing Chain
Pixel 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 Databases
we have in general 2D databases
& 3D data models
we have 3D city models
for viewers, but not for
object 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 resolution
satellite image
geocoding
with GNSS,
mapping of
buildings, water,
roads and parks
adding names
To 19:
Intergovernmental Efforts
establishment of UNGGIM
UN Secretariat, New York
Integration of Geoinformation and Statistics
Studies on the Status of Mapping
Land Cover Monitoring
establishment of GEO
Group on Earth Observations, Geneva
Disaster Risk Management
International Charter on Satellite Data Exchange by Space Agencies via UN-OOSA