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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702212