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Multisignal Compressed Sensing for Polarimetric SAR Tomography

Aguilera, Esteban and Nannini, Matteo and Reigber, Andreas (2012) Multisignal Compressed Sensing for Polarimetric SAR Tomography. IEEE Geoscience and Remote Sensing Letters, 9 (5), pp. 871-875. IEEE.

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Abstract

In recent years, 3-D imaging by means of polarimetric synthetic aperture radar (SAR) sensors has become a field of intensive research. In SAR tomography, the vertical reflectivity function for every azimuth�range pixel is usually recovered by processing data collected using a defined repeat-pass acquisition geometry. The most common approach is to generate a synthetic aperture in the elevation direction through imaging from a large number of parallel tracks. This imaging technique is appealing, since it is very simple. However, it has the drawback that large temporal baselines can severely affect the reconstruction. In an attempt to reduce the number of parallel tracks, we propose a new approach that exploits structural correlations between neighboring azimuth�range pixels and/or polarimetric channels. As a matter of fact, this can be done under the framework of distributed compressed sensing (CS) (DCS), which stems from CS theory, thus also exploiting sparsity in the tomographic signal. Finally, results demonstrating the potential of the DCS methodology will be validated by using fully polarimetric L-band data acquired by the E-SAR sensor of the German Aerospace Center (DLR).

Document Type:Article
Additional Information:�©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Title:Multisignal Compressed Sensing for Polarimetric SAR Tomography
Authors:
AuthorsInstitution or Email of Authors
Aguilera, EstebanUNSPECIFIED
Nannini, MatteoUNSPECIFIED
Reigber, AndreasUNSPECIFIED
Date:September 2012
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:9
Page Range:pp. 871-875
Publisher:IEEE
Status:Published
Keywords:Compressed sensing (CS), distributed compressed sensing (DCS), polarimetry, synthetic aperture radar (SAR) tomography
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 Flugzeug-SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Microwaves and Radar Institute > SAR Technology
Deposited By: Esteban Pedro Aguilera
Deposited On:16 Mar 2012 10:16
Last Modified:12 Dec 2013 21:38

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