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A Data Adaptive Compressed Sensing Approach to Polarimetric SAR Tomography

Aguilera, Esteban and Nannini, Matteo and Reigber, Andreas (2012) A Data Adaptive Compressed Sensing Approach to Polarimetric SAR Tomography. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IEEE. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012-07-22 - 2012-07-27, Munich, Germany.

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Document Type:Conference or Workshop Item (Speech)
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
Authors:
AuthorsInstitution or Email of Authors
Aguilera, EstebanUNSPECIFIED
Nannini, MatteoUNSPECIFIED
Reigber, AndreasUNSPECIFIED
Date:27 July 2012
Journal or Publication Title:Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Page Range:pp. 1-4
Publisher:IEEE
Status:Published
Keywords:Compressed sensing (CS), distributed CS (DCS), polarimetry, synthetic aperture radar (SAR) tomography, wavelets, kronecker basis.
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Munich, Germany
Event Type:international Conference
Event Dates:2012-07-22 - 2012-07-27
Organizer:IEEE
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 > SAR Technology
Deposited By: Esteban Pedro Aguilera
Deposited On:05 Jun 2012 14:06
Last Modified:08 May 2014 23:23

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