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Article: On the Accuracy of Topographic Residuals Retrieved by MTInSAR

TitleOn the Accuracy of Topographic Residuals Retrieved by MTInSAR
Authors
KeywordsDigital elevation model (DEM) error estimation
topographic residuals
multitemporal synthetic aperture radar interferometry (MTInSAR)
Issue Date2017
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2017, v. 55, n. 2, p. 1053-1065 How to Cite?
Abstract© 1980-2012 IEEE. Topographic residuals in differential interferometric synthetic aperture radar (InSAR) measurements are mainly caused by inaccurate external digital elevation model (DEM). Accurate separation of the phase component contributed by topographic residuals plays an important role in the retrieval of deformation time series from InSAR observations. Even though the residuals can be modeled and estimated in the framework of multitemporal SAR interferometry (MTInSAR), it is not clear what an optimal processing strategy is and how accurate the estimation can reach. We analyze here the factors that affect the accuracy of the retrieved DEM residuals by applying four commonly used MTInSAR methods in a series of simulated scenarios. The results indicate that besides the quality of interferometric observations, the thresholds of spatial and temporal baselines, the diversity of spatial baseline lengths, the connectivity of interferogram network, and improper deformation model also fluctuate the accuracy of the retrieved topographic residuals. According to these affecting factors, this paper sheds light on an optimal approach to reliably retrieve accurate topographic residuals under MTInSAR framework.
Persistent Identifierhttp://hdl.handle.net/10722/266772
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.403
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDu, Yanan-
dc.contributor.authorZhang, Lei-
dc.contributor.authorFeng, Guangcai-
dc.contributor.authorLu, Zhong-
dc.contributor.authorSun, Qian-
dc.date.accessioned2019-01-31T07:19:32Z-
dc.date.available2019-01-31T07:19:32Z-
dc.date.issued2017-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2017, v. 55, n. 2, p. 1053-1065-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/266772-
dc.description.abstract© 1980-2012 IEEE. Topographic residuals in differential interferometric synthetic aperture radar (InSAR) measurements are mainly caused by inaccurate external digital elevation model (DEM). Accurate separation of the phase component contributed by topographic residuals plays an important role in the retrieval of deformation time series from InSAR observations. Even though the residuals can be modeled and estimated in the framework of multitemporal SAR interferometry (MTInSAR), it is not clear what an optimal processing strategy is and how accurate the estimation can reach. We analyze here the factors that affect the accuracy of the retrieved DEM residuals by applying four commonly used MTInSAR methods in a series of simulated scenarios. The results indicate that besides the quality of interferometric observations, the thresholds of spatial and temporal baselines, the diversity of spatial baseline lengths, the connectivity of interferogram network, and improper deformation model also fluctuate the accuracy of the retrieved topographic residuals. According to these affecting factors, this paper sheds light on an optimal approach to reliably retrieve accurate topographic residuals under MTInSAR framework.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectDigital elevation model (DEM) error estimation-
dc.subjecttopographic residuals-
dc.subjectmultitemporal synthetic aperture radar interferometry (MTInSAR)-
dc.titleOn the Accuracy of Topographic Residuals Retrieved by MTInSAR-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2016.2618942-
dc.identifier.scopuseid_2-s2.0-84995538888-
dc.identifier.volume55-
dc.identifier.issue2-
dc.identifier.spage1053-
dc.identifier.epage1065-
dc.identifier.isiWOS:000392391800034-
dc.identifier.issnl0196-2892-

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