DocumentCode
3296221
Title
The optimal gradient matching method: application to X-SAR and Magellan stereo images
Author
Paillou, Philippe ; Gelautz, M.
Author_Institution
Lab. de Geol. Dynamique de la Terre et des Planetes, Bordeaux III Univ., Talence, France
Volume
5
fYear
1998
fDate
6-10 Jul 1998
Firstpage
2357
Abstract
The authors propose a new method for improving terrain reconstruction from SAR stereo images. The method is based on preprocessing the original images by employing an optimal filter which suppresses speckle noise and enhances relief structures that are afterwards used by the matching process. In tests on X-SAR images of a rugged terrain in the Austrian Alps and Magellan images of Venus´ surface, the preprocessing technique delivered better matching results than the conventional use of original SAR images
Keywords
astronomy computing; geodesy; geophysical signal processing; geophysical techniques; planetary surfaces; radar imaging; radioastronomical techniques; remote sensing by radar; spaceborne radar; stereo image processing; synthetic aperture radar; terrain mapping; topography (Earth); Austria; Austrian Alps; Magellan; SAR; SAR stereo image; Venus; X-SAR; geophysical measurement technique; land surface topography; matching process; optimal filter; optimal gradient matching method; planet surface; preprocessing; radar astronomy; radar imaging; radar remote sensing; radioastronomy; relief structure; speckle noise suppression; stereo image processing; synthetic aperture radar; terrain reconstruction; Adaptive optics; Image analysis; Laser radar; Optical filters; Optical noise; Radar imaging; Speckle; Stereo image processing; Testing; Venus;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location
Seattle, WA
Print_ISBN
0-7803-4403-0
Type
conf
DOI
10.1109/IGARSS.1998.702212
Filename
702212
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