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Super-resolution of sparse reconstruction for tomographic SAR imaging - demonstration with real data

Zhu, Xiao Xiang and Bamler, Richard (2012) Super-resolution of sparse reconstruction for tomographic SAR imaging - demonstration with real data. IEEE. 9th european conference on synthetic aperture radar (EUSAR), 23-26 April 2012, Nürnberg, Germany. ISBN 978-3-8007-3404-7.

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6217026


Tomographic SAR inversion, including SAR tomography and differential SAR tomography, is essentially a spectral analysis problem. The resolution in the elevation direction depends on the elevation aperture size, i.e. on the spread of orbit tracks. Since the orbits of modern meter-resolution space-borne SAR systems, such as TerraSAR-X, are tightly controlled, the tomographic elevation resolution is at least an order of magnitude lower than in range and azimuth. Hence, super-resolution reconstruction algorithms are desired. Considering the sparsity of the signal in elevation, a compressive sensing based super-resolving algorithm, named “Scale-down by L1 normMinimization, Model selection, and Estimation Reconstruction” (SL1MMER, pronounced “slimmer”) was proposed by the authors in a previous paper. The ultimate bounds of the technique on localization accuracy and super-resolution power were investigated. In this paper, the essential role of super-resolution for layover separation in urban infrastructure monitoring is pointed out. It is shown that double scatterers with small elevation distances are more frequent than those with large elevation distances. Furthermore,the super-resolution capability of SL1MMER is demonstrated using TerraSAR-X real data examples. For a high rise building complex, the percentage of detected double scatterers is almost doubled compared to classical linear estimators. Among them, half of the detected double scatterer pairs have elevation distances smaller than the Rayleigh elevation resolution. This confirms the importance of super-resolution for this type of applications.

Document Type:Conference or Workshop Item (Speech)
Title:Super-resolution of sparse reconstruction for tomographic SAR imaging - demonstration with real data
AuthorsInstitution or Email of Authors
Zhu, Xiao XiangDLR-IMF/TUM-LMF
Bamler, RichardDLR-IMF/TUM-LMF
Date:April 2012
Refereed publication:Yes
Number of Pages:4
Keywords:super-resolution, SL1MMER, SAR Tomography
Event Title:9th european conference on synthetic aperture radar (EUSAR)
Event Location:Nürnberg, Germany
Event Type:international Conference
Event Dates:23-26 April 2012
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Xiao Xiang Zhu
Deposited On:13 Jul 2012 07:14
Last Modified:25 Jun 2014 16:33

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