@inproceedings{0ceb8e31f9c849dab1830f9eb08a3dd1,
title = "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.",
keywords = "SAR, graph-cuts, tomography, urban areas",
author = "Clement Rambour and Loic Denis and Florence Tupin and Helene Oriot",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Joint Urban Remote Sensing Event, JURSE 2019 ; Conference date: 22-05-2019 Through 24-05-2019",
year = "2019",
month = may,
day = "1",
doi = "10.1109/JURSE.2019.8809001",
language = "English",
series = "2019 Joint Urban Remote Sensing Event, JURSE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 Joint Urban Remote Sensing Event, JURSE 2019",
}