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Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas

Aguilera, Esteban and Nannini, Matteo and Reigber, Andreas (2013) Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas. IEEE Transactions on Geoscience and Remote Sensing, 51 (12), pp. 5283-5295. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/TGRS.2012.2231081 ISSN 0196-2892

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Abstract

Synthetic aperture radar (SAR) tomography is a 3-D imaging modality that is commonly tackled by spectral estimation techniques. Thus, the backscattered power along the cross-range direction can be readily obtained by computing the Fourier spectrum of a stack of multibaseline measurements. In addition, recent work has addressed the tomographic inversion under the framework of compressed sensing, thereby recovering sparse cross-range profiles from a reduced set of measurements. This paper differs from previous publications, in that it focuses on sparse expansions in the wavelet domain while working with the second-order statistics of the corresponding multibaseline measurements. In this regard, we elaborate on the conditions under which this perspective is applicable to forested areas and discuss the possibility of optimizing the acquisition geometry. Finally, we compare this approach with traditional nonparametric ones and validate it by using fully polarimetric L-band data acquired by the Experimental SAR (E-SAR) sensor of the German Aerospace Center (DLR).

Item URL in elib:https://elib.dlr.de/74882/
Document Type:Article
Title:Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Aguilera, EstebanUNSPECIFIEDUNSPECIFIED
Nannini, MatteoUNSPECIFIEDUNSPECIFIED
Reigber, AndreasUNSPECIFIEDUNSPECIFIED
Date:December 2013
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:51
DOI :10.1109/TGRS.2012.2231081
Page Range:pp. 5283-5295
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:Compressed sensing (CS), forest structure, synthetic aperture radar (SAR) tomography, wavelets
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Flugzeug-SAR (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Microwaves and Radar Institute > SAR Technology
Deposited By: Aguilera, Esteban Pedro
Deposited On:16 Mar 2012 10:18
Last Modified:31 Jul 2019 19:35

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