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Demonstration of super-resolution for tomographic SAR imaging in urban environment

Zhu, Xiao Xiang and Bamler, Richard (2012) Demonstration of super-resolution for tomographic SAR imaging in urban environment. IEEE Transactions on Geoscience and Remote Sensing, 50 (8), pp. 3150-3157. IEEE. DOI: 10.1109/TGRS.2011.2177843. ISSN 0196-2892.

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&tp=&arnumber=6112799&contentType=Journals+%26+Magazines&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6243179%29%26rowsPerPage%3D50


Tomographic synthetic aperture radar (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 spaceborne 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 (SR) reconstruction algorithms are desired. Considering the sparsity of the signal in elevation, a compressive sensing based super-resolving algorithm, named �Scale-down by L1 norm Minimization, 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 SR power were investigated. In this paper, the essential role of SR for layover separation in urban infrastructure monitoring is indicated by geometric and statistical analysis. It is shown that double scatterers with small elevation distances are more frequent than those with large elevation distances. Furthermore, the SR 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 SR for this type of applications.

Document Type:Article
Title:Demonstration of super-resolution for tomographic SAR imaging in urban environment
AuthorsInstitution or Email of Authors
Zhu, Xiao XiangDLR-IMF/TUM-LMF
Bamler, RichardDLR-IMF/TUM-LMF
Date:August 2012
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
In Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 3150-3157
Keywords:Compressive sensing, SL1MMER, sparse reconstruction, super-resolution, synthetic aperture radar, TerraSAR-X, tomographic SAR inversion
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:03 Sep 2012 15:17
Last Modified:12 Dec 2013 21:45

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