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Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas

Aguilera, Esteban and Nannini, Matteo and Reigber, Andreas (2012) Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas. In: Proceedings of European Conference on Synthetic Aperture Radar (EUSAR), pp. 259-262. IEEE Explore. European Conference on Synthetic Aperture Radar (EUSAR), 2012-04-23 - 2012-04-26, Nuremberg, Germany.

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SAR tomography is a thriving three-dimensional imaging modality that is commonly tackled by spectral estimation techniques. As a matter of fact, the backscattered power along the vertical direction can be readily obtained by computing the Fourier spectrum of a stack of multi-baseline measurements. Alternatively, recent groundbreaking work has addressed the tomographic problem from a parametric viewpoint, thus estimating effective scattering centers by means of covariance matching techniques. In this paper, we introduce a compressed sensing based covariance matching approach that allows us to retrieve the complete vertical structure of forested areas. For this purpose, we employ sparse representations in the wavelet domain and propose suitable pre-filtering techniques. Finally, we validate this approach by using fully polarimetric L-band data acquired by the E-SAR sensor of DLR.

Document Type:Conference or Workshop Item (Speech)
Title:Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas
AuthorsInstitution or Email of Authors
Aguilera, EstebanUNSPECIFIED
Nannini, MatteoUNSPECIFIED
Reigber, AndreasUNSPECIFIED
Date:26 April 2012
Journal or Publication Title:Proceedings of European Conference on Synthetic Aperture Radar (EUSAR)
Refereed publication:Yes
Page Range:pp. 259-262
Publisher:IEEE Explore
Keywords:SAR tomography, forest structure, compressed sensing (CS), wavelets
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Nuremberg, Germany
Event Type:international Conference
Event Dates:2012-04-23 - 2012-04-26
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: Esteban Pedro Aguilera
Deposited On:20 Mar 2012 15:03
Last Modified:08 May 2014 23:22

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