Figure 7: Geocoded image data: multispectral SPOT XS, spectral band 3 (left) and ERS-1 SAR image (right). 
Certain improvements of achieved results seem feasible 
through a more sophisticated processing of the data. In 
particular, future activities will be related to the 
implementation of alternative image matching algorithms. 
Emphasis shall be put on their applicability for SAR 
stereo pairs including images from different SAR sensors. 
Filter mechanisms for SAR image data have to be 
considered in order to reduce the SAR speckle noise and 
to provide better conditions for automatic SAR image 
matching. 
REFERENCES 
Almer A., Raggam J. and Strobl D., 1991. High-Precision 
Geocoding of Spaceborne Remote Sensing Data of High- 
Relief Terrain. In: Proceedings ACSM/ASPRS/Auto Carto 
Annual Convention, Vol. 4, pp. 183 - 192, Baltimore, 
Maryland, March 25-29, 1991. 
Raggam J. and Almer A., 1990. Mathematical Aspects of 
Multi-Sensor Stereo Mapping. In: Proc. of 10th Annual 
IGARSS Symposium: Remote Sensing - Science for the 
Nineties, Vol. lll, pp. 1963-1966, Washington D.C., U.S.A. 
Raggam J., Strobl D., Hummelbrunner W. and Almer A., 
1993. Investigation of the Stereoscopic Potential of 
ERS-1 SAR Data. In: Proc. 4th Int. GEOSAR Workshop: 
Quality and Standards of High-Level SAR Data, 
Loipersdorf, Austria, May 26-28, 1993, pp. 81-88. 
676 
Raggam J., Almer A. and Tarsi T., 1995. Geometric 
Assessment of JERS-1 Optical and SAR Data in 
Comparison and in Combination with European SPOT 
and ERS-1 Data. In: Final Report of JERS-1/ERS-1 
System Verification Program, published by MITI (Ministry 
of International Trade and Industry) and NASDA (National 
Space Development Agency), pp. 1.120 - 1.135. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996 
  
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