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An Efficient Tomographic Inversion Approach for Urban Mapping using Meter Resolution SAR Image Stacks

Wang, Yuanyuan and Zhu, Xiao Xiang and Bamler, Richard (2014) An Efficient Tomographic Inversion Approach for Urban Mapping using Meter Resolution SAR Image Stacks. IEEE Geoscience and Remote Sensing Letters, 11 (7), pp. 1250-1254. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2013.2290833 ISSN 1545-598X

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6714382

Abstract

This article describes an efficient approach for synthetic aperture radar (SAR) tomography inversion. The proposed approach is an integration of the available SAR tomography (TomoSAR) algorithms (e.g. SVD-Wiener, SL1MMER) and the well-known persistent scatterer interferometry (PSI). It consists in general three steps: first, a global estimation of the topography and motion parameters using PSI; second, a single and double scatterer discrimination step based on the results of the first step; and lastly, a SAR tomography inversion, performed on the pre-classified double scatterers, retrieving the topography and motion parameters of both scatterers. The proposed approach is tested on a number of TerraSAR-X image stacks of urban areas. It provides reliable results comparable to that processed using the most expensive TomoSAR algorithms (e.g. SL1MMER) only, and saves computational time by over fifty times.

Item URL in elib:https://elib.dlr.de/93792/
Document Type:Article
Title:An Efficient Tomographic Inversion Approach for Urban Mapping using Meter Resolution SAR Image Stacks
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wang, YuanyuanTUMUNSPECIFIED
Zhu, Xiao XiangTUM,DLRUNSPECIFIED
Bamler, RichardTUM,DLRUNSPECIFIED
Date:16 January 2014
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:11
DOI :10.1109/LGRS.2013.2290833
Page Range:pp. 1250-1254
Editors:
EditorsEmail
Gamba, Paolopaolo.gamba@unipv.it
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Published
Keywords:SAR tomography, urban mapping, TerraSAR-X, synthetic aperture radar
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: Wang, Yuanyuan
Deposited On:17 Dec 2014 07:52
Last Modified:31 Jul 2019 19:50

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