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A Data-Adaptive Compressed Sensing Approach to Polarimetric SAR Tomography of Forested Areas

Aguilera, Esteban and Nannini, Matteo and Reigber, Andreas (2013) A Data-Adaptive Compressed Sensing Approach to Polarimetric SAR Tomography of Forested Areas. IEEE Geoscience and Remote Sensing Letters, 10 (3), pp. 543-547. IEEE - Institute of Electrical and Electronics Engineers. ISSN 1545-598X.



Super-resolution imaging via compressed sensing (CS)-based spectral estimators has been recently introduced to synthetic aperture radar (SAR) tomography. In the case of partial scatterers, the mainstream has so far been twofold, in that the tomographic reconstruction is conducted by either directly working with multiple looks and/or polarimetric channels or by exploiting the corresponding single-channel second-order statistics. In this letter, we unify these two methodologies in the context of covariance fitting. In essence, we exploit the fact that both vertical structures and the unknown polarimetric signatures can be approximated in a low-dimensional subspace. For this purpose, we make use of a wavelet basis in order to sparsely represent vertical structures. Additionally, we synthesize a data-adaptive orthonormal basis that spans the space of polarimetric signatures. Finally, we validate this approach 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/75995/
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:A Data-Adaptive Compressed Sensing Approach to Polarimetric SAR Tomography of Forested Areas
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Date:May 2013
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 543-547
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Distributed compressed sensing (DCS), Kronecker basis, polarimetry, synthetic aperture radar (SAR) tomography, wavelets.
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:13 Jun 2012 13:11
Last Modified:31 Jul 2019 19:36

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