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Practical demonstration of robust InSAR optimization for multipass InSAR

Wang, Yuanyuan and Zhu, Xiao Xiang (2016) Practical demonstration of robust InSAR optimization for multipass InSAR. In: Proceedings of EUSAR 2016, pp. 879-883. VDE Verlag. EUSAR 2016, 6-9 June 2016, Hamburg, Germany. ISBN 978-3-8007-4228-8 ISSN 2197-4403

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Official URL: http://ieeexplore.ieee.org/document/7559436/

Abstract

Multipass / multibaseline SAR interferometric measurements may suffer from, for example, non-Gaussian scatterers in the context of distributed scatterers, and unmodeled interferometric phase such as unmodeled motion phase and atmospheric phase. Robust InSAR Optimization (RIO) is a framework that systematically tackles these problems. Experiments show that RIO greatly outperform the current methods in terms of the variance of phase history parameter estimates for contaminated observations, but still keeps an relative efficiency of 80% when the observations are outlier-free.

Item URL in elib:https://elib.dlr.de/108468/
Document Type:Conference or Workshop Item (Speech)
Title:Practical demonstration of robust InSAR optimization for multipass InSAR
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wang, YuanyuanTUMUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Date:5 September 2016
Journal or Publication Title:Proceedings of EUSAR 2016
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 879-883
Publisher:VDE Verlag
ISSN:2197-4403
ISBN:978-3-8007-4228-8
Status:Published
Keywords:multipass, multibaseline, robust estimation, phase history, covariance matrix, SAR interferometry, SAR
Event Title:EUSAR 2016
Event Location:Hamburg, Germany
Event Type:international Conference
Event Dates:6-9 June 2016
Organizer:VDE
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:29 Nov 2016 12:23
Last Modified:31 Jul 2019 20:05

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