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The SL1MMER algorithm for spectral estimation — with application to tomographic SAR inversion

Zhu, Xiao Xiang and Bamler, Richard (2011) The SL1MMER algorithm for spectral estimation — with application to tomographic SAR inversion. SIAM conference on optimization 2011, 16-19 May 2011, Darmstadt, Germany.

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Official URL: http://www.siam.org/meetings/op11/op11abstracts.pdf

Abstract

We introduce SL1MMER, a spectral estimation algorithm based on L1-norm minimisation, model order selection and final parameter estimation. It combines the advantages of compressive sensing with the amplitude and phase accuracy of linear estimators. Our target application is differential Synthetic Aperture Radar (SAR) tomography. We will also show that by means of our proposed time warp method the tomographic imaging equation with an M-component motion model can be rewritten as an M+1-dimensional spectral estimation problem.

Document Type:Conference or Workshop Item (Speech)
Title:The SL1MMER algorithm for spectral estimation — with application to tomographic SAR inversion
Authors:
AuthorsInstitution or Email of Authors
Zhu, Xiao XiangDLR,TUM
Bamler, RichardDLR,TUM
Date:May 2011
Refereed publication:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:spectral estimation, SL1MMER, synthetic aperture radar (SAR), SAR tomography, super resolution, compressive sensing
Event Title:SIAM conference on optimization 2011
Event Location:Darmstadt, Germany
Event Type:international Conference
Event Dates:16-19 May 2011
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 hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Yuanyuan Wang
Deposited On:07 Sep 2011 15:19
Last Modified:23 Jan 2012 10:46

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