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Urban surface recovery through graph-cuts over SAR tomographic reconstruction

Abstract : The understanding of tomograms can be a difficult task when the observed scene is complex. The Synthetic Aperture RADAR (SAR) ranging acquisition induces geometrical distortions depending on the local slope of the back-scattering surface. Over dense urban areas, this particular geometry produces tilted facades instead of straight buildings. Moreover the high dynamic in SAR images of urban areas may lead to 3-D representation with very bright voxels eclipsing other echoes. In this paper we present a graph-cut approach adapted to any tomographic reconstruction technique to segment the urban surface in a 3-D tomographic reconstruction. Results on real data from a stack of 40 TerraSAR-X images are presented.
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https://hal.archives-ouvertes.fr/hal-02924933
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Clément Rambour, Loïc Denis, Florence Tupin, Hélène Oriot. Urban surface recovery through graph-cuts over SAR tomographic reconstruction. 2019 Joint Urban Remote Sensing Event (JURSE), May 2019, Vannes, France. ⟨10.1109/JURSE.2019.8809001⟩. ⟨hal-02924933⟩

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