Title :
SAR image matching using the edge strength map
Author :
Oller, G. ; Marthon, P. ; Denise, L.
Author_Institution :
Alcatel Space Industries, Toulouse, France
Abstract :
Based on the principle of stereovision, radargrammetry uses the parallax between a couple of SAR images to reconstruct the 3D information of the scene. In the radargrammetric process, the matching step is the most problematic one, due to speckle noise. In this paper, we present our radargrammetric chain, and then, focus on the matching module we are developing, which includes an edge detection to improve the reconstruction.
Keywords :
edge detection; geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; topography (Earth); 3D scene; SAR; edge strength map; geophysical measurement technique; image matching; image reconstruction; land surface topography; matching module; matching step; parallax; radar imaging; radar remote sensing; radargrammetric chain; radargrammetry; speckle noise; stereovision; synthetic aperture radar; terrain mapping; topographic mapping; Adaptive optics; Data mining; Geometrical optics; Image matching; Image reconstruction; Layout; Optical sensors; Solid modeling; Speckle; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1026589
