Expressway deformation mapping using high-resolution TerraSAR-X images

Handle URI:
http://hdl.handle.net/10754/563354
Title:
Expressway deformation mapping using high-resolution TerraSAR-X images
Authors:
Shi, Xuguo; Liao, Mingsheng; Wang, Teng ( 0000-0003-3729-0139 ) ; Zhang, Lu; Shan, Wei; Wang, Chunjiao
Abstract:
Monitoring deformation of linear infrastructures such as expressway and railway caused by natural processes or anthropogenic activities is a vital task to ensure the safety of human lives and properties. Interferometric Synthetic Aperture Radar (InSAR) has been widely recognized as an effective technology to carry out large-area surface deformation mapping. However, its application in linear infrastructure deformation monitoring has not been intensively studied till now. In this article, a modified Small BAseline Subset (SBAS) method is proposed to retrieve the deformation patterns of the expressway. In our method, only the point-like targets identified on the expressway were kept in our analysis, and two complementary subsets of interferograms were formed to better separate the signals of height error and deformation from inteferometric phase observations. We successfully applied this method with multitemporal high-resolution TerraSAR-X images to retrieve the spatialoral pattern of surface deformation along the Beian-Heihe expressway that is located in island-permafrost areas and threatened by geohazards. © 2014 Taylor & Francis.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program
Publisher:
Informa UK Limited
Journal:
Remote Sensing Letters
Issue Date:
27-Jan-2014
DOI:
10.1080/2150704X.2014.891774
Type:
Article
ISSN:
2150704X
Sponsors:
This work is financially supported by the National Key Basic Research Program of China [grant number 2013CB733204, 2013CB733205]; the National Natural Science Foundation of China [grant number 61331016, 41271457, 41174120, 41021061] and the Shanghai Academy of Spaceflight Technology Innovation Fund [grant number SAST201214].
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorShi, Xuguoen
dc.contributor.authorLiao, Mingshengen
dc.contributor.authorWang, Tengen
dc.contributor.authorZhang, Luen
dc.contributor.authorShan, Weien
dc.contributor.authorWang, Chunjiaoen
dc.date.accessioned2015-08-03T11:46:30Zen
dc.date.available2015-08-03T11:46:30Zen
dc.date.issued2014-01-27en
dc.identifier.issn2150704Xen
dc.identifier.doi10.1080/2150704X.2014.891774en
dc.identifier.urihttp://hdl.handle.net/10754/563354en
dc.description.abstractMonitoring deformation of linear infrastructures such as expressway and railway caused by natural processes or anthropogenic activities is a vital task to ensure the safety of human lives and properties. Interferometric Synthetic Aperture Radar (InSAR) has been widely recognized as an effective technology to carry out large-area surface deformation mapping. However, its application in linear infrastructure deformation monitoring has not been intensively studied till now. In this article, a modified Small BAseline Subset (SBAS) method is proposed to retrieve the deformation patterns of the expressway. In our method, only the point-like targets identified on the expressway were kept in our analysis, and two complementary subsets of interferograms were formed to better separate the signals of height error and deformation from inteferometric phase observations. We successfully applied this method with multitemporal high-resolution TerraSAR-X images to retrieve the spatialoral pattern of surface deformation along the Beian-Heihe expressway that is located in island-permafrost areas and threatened by geohazards. © 2014 Taylor & Francis.en
dc.description.sponsorshipThis work is financially supported by the National Key Basic Research Program of China [grant number 2013CB733204, 2013CB733205]; the National Natural Science Foundation of China [grant number 61331016, 41271457, 41174120, 41021061] and the Shanghai Academy of Spaceflight Technology Innovation Fund [grant number SAST201214].en
dc.publisherInforma UK Limiteden
dc.titleExpressway deformation mapping using high-resolution TerraSAR-X imagesen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEarth Science and Engineering Programen
dc.identifier.journalRemote Sensing Lettersen
dc.contributor.institutionState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Chinaen
dc.contributor.institutionEngineering Consulting and Design Institute, Northeast Forestry University, Harbin, Chinaen
kaust.authorWang, Tengen
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