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Tomographic SAR Inversion by L1 Norm Regularization – The Compressive Sensing Approach

Zhu, Xiao Xiang und Bamler, Richard (2010) Tomographic SAR Inversion by L1 Norm Regularization – The Compressive Sensing Approach. IEEE Transactions on Geoscience and Remote Sensing, 48 (10), Seiten 3839-3846. DOI: 10.1109/TGRS.2010.2048117 . ISSN 0196-2892 .

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Offizielle URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5482209&tag=1

Kurzfassung

SAR tomography (TomoSAR) extends the synthetic aperture principle into the elevation direction for 3-D imaging. The resolution in the elevation direction depends on the size of the elevation aperture, i.e. on the spread of orbit tracks. Since the orbits of modern meter-resolution space-borne SAR systems, like 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. The high anisotropy of the 3D tomographic resolution element renders the signals sparse in the elevation direction; only a few point-like reflections are expected per azimuth-range cell. This property suggests using compressive sensing (CS) methods for tomographic reconstruction. The paper presents the theory of 4-D (differential, i.e. space-time) CS TomoSAR and compares it with parametric (nonlinear least-squares) and non-parametric (singular value decomposition) reconstruction methods. Super-resolution properties and point localization accuracies are demonstrated using simulations and real data. A CS reconstruction of a building complex from TerraSAR-X spotlight data is presented.

Dokumentart:Zeitschriftenbeitrag
Titel:Tomographic SAR Inversion by L1 Norm Regularization – The Compressive Sensing Approach
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Zhu, Xiao XiangTUM
Bamler, RichardNICHT SPEZIFIZIERT
Datum:2010
Erschienen in:IEEE Transactions on Geoscience and Remote Sensing
Referierte Publikation:Ja
In Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:48
DOI :10.1109/TGRS.2010.2048117
Seitenbereich:Seiten 3839-3846
ISSN:0196-2892
Status:veröffentlicht
Stichwörter:Differential SAR tomography, compressive sensing, urban mapping, TerraSAR-X
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Weltraum (alt)
HGF - Programmthema:W EO - Erdbeobachtung
DLR - Schwerpunkt:Weltraum
DLR - Forschungsgebiet:W EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):W - Vorhaben SAR-Expert-Support-Lab (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung
Hinterlegt von: Xiao Xiang Zhu
Hinterlegt am:25 Okt 2010 13:18
Letzte Änderung:04 Apr 2013 16:17

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