Geodetic SAR Tomography

Journal Article (2016)
Author(s)

Xiao Xiang Zhu (Technische Universität München)

Sina Montazeri (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Christoph Gisinger (Technische Universität München)

Ramon F. Hanssen (TU Delft - Mathematical Geodesy and Positioning)

Richard Bamler (Technische Universität München)

Research Group
Mathematical Geodesy and Positioning
Copyright
© 2016 Xiao Xiang Zhu, Sina Montazeri, Christoph Gisinger, R.F. Hanssen, Richard Bamler
DOI related publication
https://doi.org/10.1109/TGRS.2015.2448686
More Info
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Publication Year
2016
Language
English
Copyright
© 2016 Xiao Xiang Zhu, Sina Montazeri, Christoph Gisinger, R.F. Hanssen, Richard Bamler
Research Group
Mathematical Geodesy and Positioning
Issue number
1
Volume number
54
Pages (from-to)
18-35
Reuse Rights

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Abstract

In this paper, we propose a framework referred to as 'geodetic synthetic aperture radar (SAR) tomography' that fuses the SAR imaging geodesy and tomographic SAR inversion (TomoSAR) approaches to obtain absolute 3-D positions of a large amount of natural scatterers. The methodology is applied on four very high resolution TerraSAR-X spotlight image stacks acquired over the city of Berlin. Since all the TomoSAR estimates are relative to the same reference point object whose absolute 3-D positions are retrieved by means of stereo SAR, the point clouds reconstructed using data acquired from different viewing angles can be geodetically fused. To assess the accuracy of the position estimates, the resulting absolute shadow-free 3-D TomoSAR point clouds are compared with a digital surface model obtained by airborne LiDAR. It is demonstrated that an absolute positioning accuracy of around 20 cm and a meter-order relative positioning accuracy can be achieved by the proposed framework using TerraSAR-X data.

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