In this paper we introduce a new approach for recovering shape-from-shading (SFS) from synthetic aperture radar (SAR) images of the terrain. Three contributions are proposed. Firstly, we show how the direction of surface normals is constrained by the geometry of the radar reflectivity cone. Second, we show, how topographic features call be used as boundary constraints on the recovered surface normals. Finally, the resulting field of surface normals is smoothed using robust statistics.
|Number of pages||4|
|Journal||15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS|
|Publication status||Published - 2000|