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Terrain Modeling in Synthetic Aperture Radar Images Using Shape-from-Shading
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90552015th International Conference on Patt ...
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Adrian G. Bors, University of York
Edwin R. Hancock, University of York
Richard C. Wilson, University of York
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 can be used as boundary constraints on the recovered surface normals. Finally, the resulting field of surface normals is smoothed using robust statistics.
Citation:
Adrian G. Bors, Edwin R. Hancock, Richard C. Wilson, "Terrain Modeling in Synthetic Aperture Radar Images Using Shape-from-Shading," icpr, vol. 1, pp.1798, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 1, 2000
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