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 - Institute of Electrical and Electronics Engineers. doi: 10.1109/lgrs.2012.2185482.
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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).
Item URL in elib: | https://elib.dlr.de/75242/ | ||||||||||||||||
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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: |
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Date: | September 2012 | ||||||||||||||||
Journal or Publication Title: | IEEE Geoscience and Remote Sensing Letters | ||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||
Open Access: | Yes | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||
Volume: | 9 | ||||||||||||||||
DOI: | 10.1109/lgrs.2012.2185482 | ||||||||||||||||
Page Range: | pp. 871-875 | ||||||||||||||||
Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
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 - Earth Observation | ||||||||||||||||
DLR - Research theme (Project): | R - Aircraft SAR | ||||||||||||||||
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 10:16 | ||||||||||||||||
Last Modified: | 15 Jun 2023 07:57 |
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