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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