STEREO SAR IMAGES

This paper presents a practical method for estimation of surface topography from opposite-side Synthetic Aperture Radar (SAR) stereo images. The method uses a Shape From Shading (SFS) algorithm to recovery needle maps, a facet model to extract features invariant to grazing direction, the Successive Over Relaxation (SOR) technique to construct a low resolution depth image, and finally Frankot-Chellappa’s SFS algorithm to reconstruct a high resolution digital terrain map (DTM). The method does not require auxiliary data such as control points and can cope with big intersection angle SAR stereo image pairs. Experimental results with simulated SAR images are presented.

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