NDLI: Compressive sensing for high resolution differential SAR tomography

Content Provider	IEEE Xplore Digital Library
Author	Xiao Xiang Zhu Bamler, R.
Copyright Year	2010
Description	Author affiliation: Technische Universität München, Lehrstuhl für Methodik der Fernerkundung, Arcisstraße 21, 80333, Germany (Xiao Xiang Zhu; Bamler, R.)
Abstract	Differential SAR tomography extends the synthetic aperture principle into the elevation and time directions for 4-D imaging. With modern meter-resolution space-borne SAR systems like TerraSAR-X (TS-X), systematic tomographic imaging of urban infrastructure and its deformations becomes feasible. We demonstrate the potential of TS-X data for this purpose and introduce several novel concepts. Since building deformation in general is nonlinear, e.g. due to thermal dilation, we start from a tomographic system formulation that is general enough to allow for the inclusion of motion models (linear, periodic, etc.). By appropriate warping of the time axis we map the motion model function to become linear and lead to a peak in the spectral domain. For the differential tomographic inversion itself we propose a 2-D compressive sensing (CS) based approach—“SL1MMER”. We demonstrate the super-resolution power and the robustness of SL1MMER both with simulated and with real data. We also show that it provides an attractive compromise between parametric and non-parametric methods. A full reconstruction of a building complex and its seasonal deformation from a stack of TS-X spotlight data is finally presented.
Starting Page	17
Ending Page	20
File Size	2342283
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5654021
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tomography Image resolution Image reconstruction Estimation Robustness Minimization Compressed sensing TerraSAR-X differential SAR tomography nonlinear motion compressive sensing SL1MMER super-resolution
Content Type	Text
Resource Type	Article

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