Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [7 references]  Display  Hide  Download
Contributor : Clément Rambour <>
Submitted on : Friday, August 28, 2020 - 3:21:04 PM
Last modification on : Tuesday, March 16, 2021 - 3:40:03 PM
Long-term archiving on: : Sunday, November 29, 2020 - 12:39:06 PM


Files produced by the author(s)



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⟩



Record views


Files downloads