Full text: Proceedings, XXth congress (Part 1)

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part Bl. Istanbul 2004 
  
Figure 4. LGCPs and correlation algorithm via JTC. 
3.2.3 Onboard Geocoding 
After the image orientation parameters are determined via the 
algorithms/methods that we have discussed so far, the 
geocoding of each satellite image scene still will consist of the 
following steps: (1) determination of the size of the geocoded 
image; (2) transformation of pixel locations from the original 
image to the resulting (geocoded) image; and (3) resampling of 
the original image pixels into the geocoded image for 
assignment of gray values. The whole processing procedure of 
geocoding of satellite images contains from the determination 
of the sensor's exterior orientation parameters to the 
transformation of the original imagery to the geocoded product. 
The software and algorithms of geocoding, except onboard 
EOP determination, have been developed by Zhou (2002). The 
future investigation of this proposed project will be migrating 
these algorithms to onboard satellite platform with special 
consideration of the onboard processing environments, e.g., 
limited storage space and power. 
4. CONCLUDING REMARKS 
The present paper provides the concept design and the 
architecture of a future intelligent earth observing satellite 
(FIEOS) system. The proposed system is a space-based 
architecture for the dynamic and comprehensive on-board 
integration of Earth observing sensors, data processors and 
communication systems. The architecture and implementation 
strategies suggest a seamless integration of diverse components 
into a smart, adaptable and robust Earth observation satellite 
system. It is intended to enable simultaneous global 
measurements and timely analyses of the Earth's environment 
for a variety of users. Common users would directly access 
data in a manner similar to selecting a TV channel. The 
imagery viewed would most likely be obtained directly from 
the satellite system. 
To this end, real-time information systems are key to solving 
the challenges associated with this architecture. Realization of 
such a technologically complex system will require the 
contributions of scientists and engineers from many disciplines. 
Hopefully, this revolutionary concept will dramatically impact 
how earth observing satellite technology develop and conduct 
missions in the future. 
Since the spatial information sciences are maturing, it is time to 
'simplify' our technologies, so that more users can directly 
obtain information from satellites. The future is promising for 
the photogrammetry/remote sensing/GIS communities. A 
thorough feasibility study addressing the key technologies of 
each of the components, the necessity, possibilities, benefits 
and issues, and exploration of specific funding opportunities for 
implementation will be performed in Phase II of our 
investigation. 
ACKNOWLEDGMENTS 
This project was partially funded by the NASA Institute of 
Advanced Concepts (NIAC), under contract number NASS- 
98051. We would like to thank all those people who were kind 
enough to discuss a number of topics that were crucial to 
complete this work. We are grateful to those satellite 
development scientists who have provided us with helpful 
advice, encouragement and relevant materials. 
REFERENCES 
Alkalai, L, 2001. An Overview of Flight Computer 
Technologies for Future NASA Space Exploration Missions, 
3rd IAA Symposium on Small Satellites for Earth Observation, 
April 2 - 6, Berlin, Germany. 
Armbruster, P. and W. Wijmans, 2000. Reconfigurable on- 
board payload data processing system developments at the 
European Space Agency, ESA-presentation at SPIE 2000, 
Volume 4132-12. 
Bisnath S.B. and R.B. Langley, 2001. Precise Orbit 
Determination of Low Earth Orbiters with GPS Point 
Positioning. Proceedings of ION National Technical Meeting, 
January 22-24, 2001, Long Beach, CA. 
Davis, C. O., D. Horan, M. Corson, 2000. On-orbit calibration 
of the Naval EarthMap Observer (NEMO) Coastal Ocean 
Imaging Spectrometer (COIS), Proceedings of SPIE. Vol. 
4132. 
Gill, E., O. Montenbruck, H. Kayal and K. Briess, 2001. 
Combined Space-Ground Autonomy for the BIRD Small 
Satellite Mission; IAA-B3-0505P; 3rd IAA Symposium on 
Small Satellites for Earth Observation, April 2-6, Berlin. 
Janschek, K., et. al., 2000. Hybrid Optoelectronic Information 
System for the satellite coordinates determination, Proceedings 
of the workshop on Computer Science and Information 
Technologies. CSIT's 2000, Ufa, RUSSIA. 
NASA Earth Science Vision Initiative, 
http://staac.gsfc.nasa.gov/esv.htm. 
Oertel, D., B. Zhukov, H. Jahn, K. Briess and E. Lorenz, 1998. 
Space-borne autonomous on-board recognition of high 
temperature events, 7n. IDNDR Conference on Early Warning 
System for the Reduction of Natural Disasters, Potsdam, 
Germany, 7-11 September. 
Prescott G., S. A. Smith and K. Moe, 1999, Real-Time 
Information System Technology Challenges for NASA's Earth 
Science Enterprise. The Ist International Workshop on Real- 
Time Mission-Critical Systems: Grand Challenge Problems. 
November 30; Phoenix, Arizona. 
Ramachandran, R., H.T. Conover, S.J. Graves, K. Keiser, C. 
Pearson and J. Rushing, 1999. A Next Generation Information 
System for Earth Science Data, The Int. Symposium on Optical 
Science, Engineering and Instrumentation, Denver, Colorado. 
Schoeberl, M., J. Bristow and C. Raymond, 2001. Intelligent 
Distributed Spacecraft Infrastructure, Earth Science Enterprise 
Technology Planning Workshop, 23-24 January. 
Zhou, G., et al., 2004. Concept design of future intelligent 
observing satellites, International Journal of Remote Sensing 
(in press). 
Zhou, G. K. Jezek, W. Wright, J. Rand and J. Granger, 
Orthorectifying 1960’s unclassified intelligence satellite 
photography (DISP) of Greenland, [EEE Geoscience and 
Remote Sensing, vol. 40, no. 6, 2002, pp. 1247-1259. 
Zhou, G. and R. Li, 2000. Accuracy evaluation of ground 
points from high-resolution satellite imagery IKONOS, 
Photogrammetry Engineering & Remote Sensing, vol. 66, no. 9, 
pp. 1103-1112. 
   
  
    
    
   
   
    
   
    
     
  
    
   
    
   
    
  
   
   
    
    
    
   
   
   
   
    
    
    
    
     
     
     
   
  
    
   
   
   
    
    
   
  
    
    
    
    
   
    
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