elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

Within the resolution cell: super-resolution in tomographic SAR imaging

Zhu, Xiao Xiang and Bamler, Richard (2011) Within the resolution cell: super-resolution in tomographic SAR imaging. IGARSS 2011, 24-29 July 2011, Vancouver, Canada. ISBN 978-1-4577-1003-2 . ISSN 2153-6996

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6049694&tag=1

Abstract

We address the problem of resolving two closely spaced complex-valued points from N irregular Fourier domain samples. Although this is a generic super-resolution problem, our target application is SAR tomography where typically the number of acquisitions is N = 10... 100 and SNR = 0 ...10dB. In this paper, a compressive sensing based algorithm is introduced for tomographic SAR inversion. It is named "Scale-down by L1 norm Minimization. Model selection, and Estimation Reconstruction" (SLIMMER, pronounced "slimmer"). SLIMMER combines the advantage of compressive sensing, e.g. high localization accuracy and super-resolution, and the radiometric accuracy of the linear estimator. Moreover, a systematic performance assessment of the SLIMMER algorithm is carried out regarding the elevation estimation accuracy and super-resolution. It is proven that SLIMMER is an efficient estimator; its super resolution factors are in the range of 1.5 to 25 for the aforementioned parameter ranges of TV and SNR. Our results are approximately applicable to nonlinear least-squares estimation, and hence can be considered as fundamental bounds for super-resolution of spectral estimators.

Document Type:Conference or Workshop Item (Speech)
Title:Within the resolution cell: super-resolution in tomographic SAR imaging
Authors:
AuthorsInstitution or Email of Authors
Zhu, Xiao XiangDLR,TUM
Bamler, RichardDLR,TUM
Date:24 July 2011
Refereed publication:No
In ISI Web of Science:No
Page Range:2401 -2404
Series Name:Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
ISSN:2153-6996
ISBN:978-1-4577-1003-2
Status:Published
Keywords:synthetic aperture radar (SAR), SAR tomography, resolution cell, super resolution, compressive sensing, SL1MMER
Event Title:IGARSS 2011
Event Location:Vancouver, Canada
Event Type:international Conference
Event Dates:24-29 July 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 15:08
Last Modified:08 May 2014 23:22

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.