SAR tomography with reduced number of tracks: Urban object reconstruction

Stephane Guillaso ¹

Olivier Dhondt ¹

Olaf Hellwich ¹

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Technische Universität Berlin., Computer Vision and Remote Sensing Group, Marchstr. 23, 10587 Berlin, Germany |

Publication type: Proceedings Article

Publication date: 2015-07-01

Institute of Electrical and Electronics Engineers (IEEE)

DOI: 10.1109/IGARSS.2015.7326426

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Abstract

In this paper, we propose to reconstruct, in 3D, an isolated building. We introduce a treatment chain, from SAR data to 3D rendering. We define the Tomographic Bilateral filter (TomoSAR-BLF) which improve drastically the estimation of the covariance matrix by preserving the edge and the nature of the different object. The rest of the processing consists mainly by generating the tomograms using spectral analysis, extracting point-cloud using the TomoSNI approach and then rendering the 3D building using a mesh obtained by triangulation and surface rendering method.

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Remote Sensing	Remote Sensing, 1, 50% Remote Sensing 1 publication, 50%
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Institute of Electrical and Electronics Engineers (IEEE)