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Robust multibaseline InSAR optimization

Wang, Yuanyuan and Zhu, Xiao Xiang (2016) Robust multibaseline InSAR optimization. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1464-1467. IEEE Xplore. IGARSS 2016, 10 - 15 July 2016, Beijing, China. doi: 10.1109/IGARSS.2016.7729374. ISBN 978-1-5090-3332-4. ISSN 2153-7003.

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Official URL: http://ieeexplore.ieee.org/document/7729374/

Abstract

Multibaseline / multipass SAR interferometry may face unmodeled interferometric phase such as unmodeled motion phase and uncompensated atmospheric phase, as well as non-Gaussian statistics in the context of distributed scatterer. We developed the robust InSAR optimization (RIO) [1] framework to systematically tackle these issues. Experiments show that RIO greatly outperform the current multipass InSAR methods in terms of the variance of the phase history parameter estimates for contaminated observations, while still keeping an relative efficiency of 80% for outlier-free observations.

Item URL in elib:https://elib.dlr.de/108466/
Document Type:Conference or Workshop Item (Speech)
Title:Robust multibaseline InSAR optimization
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Wang, YuanyuanTUMUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Date:November 2016
Journal or Publication Title:2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2016.7729374
Page Range:pp. 1464-1467
Publisher:IEEE Xplore
ISSN:2153-7003
ISBN:978-1-5090-3332-4
Status:Published
Keywords:robust estimation, M-estimator, covariance matrix, RME, RIO, InSAR, SAR
Event Title:IGARSS 2016
Event Location:Beijing, China
Event Type:international Conference
Event Dates:10 - 15 July 2016
Organizer:GRSS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Wang, Yuanyuan
Deposited On:29 Nov 2016 15:55
Last Modified:31 Jul 2019 20:05

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