Expressway deformation mapping using high-resolution TerraSAR-X images
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 tech...
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Online Access: | http://hdl.handle.net/10754/563354 https://doi.org/10.1080/2150704X.2014.891774 |
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ftkingabdullahun:oai:repository.kaust.edu.sa:10754/563354 2023-12-31T10:21:56+01:00 Expressway deformation mapping using high-resolution TerraSAR-X images Shi, Xuguo Liao, Mingsheng Wang, Teng Zhang, Lu Shan, Wei Wang, Chunjiao Earth Science and Engineering Program Physical Science and Engineering (PSE) Division State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China Engineering Consulting and Design Institute, Northeast Forestry University, Harbin, China 2014-03-05 http://hdl.handle.net/10754/563354 https://doi.org/10.1080/2150704X.2014.891774 unknown Informa UK Limited Shi, X., Liao, M., Wang, T., Zhang, L., Shan, W., & Wang, C. (2014). Expressway deformation mapping using high-resolution TerraSAR-X images. Remote Sensing Letters, 5(2), 194–203. doi:10.1080/2150704x.2014.891774 doi:10.1080/2150704X.2014.891774 2150704X Remote Sensing Letters http://hdl.handle.net/10754/563354 Article 2014 ftkingabdullahun https://doi.org/10.1080/2150704X.2014.891774 2023-12-02T20:19:12Z 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. 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]. Article in Journal/Newspaper permafrost King Abdullah University of Science and Technology: KAUST Repository Remote Sensing Letters 5 2 194 203 |
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King Abdullah University of Science and Technology: KAUST Repository |
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ftkingabdullahun |
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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. 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]. |
author2 |
Earth Science and Engineering Program Physical Science and Engineering (PSE) Division State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China Engineering Consulting and Design Institute, Northeast Forestry University, Harbin, China |
format |
Article in Journal/Newspaper |
author |
Shi, Xuguo Liao, Mingsheng Wang, Teng Zhang, Lu Shan, Wei Wang, Chunjiao |
spellingShingle |
Shi, Xuguo Liao, Mingsheng Wang, Teng Zhang, Lu Shan, Wei Wang, Chunjiao Expressway deformation mapping using high-resolution TerraSAR-X images |
author_facet |
Shi, Xuguo Liao, Mingsheng Wang, Teng Zhang, Lu Shan, Wei Wang, Chunjiao |
author_sort |
Shi, Xuguo |
title |
Expressway deformation mapping using high-resolution TerraSAR-X images |
title_short |
Expressway deformation mapping using high-resolution TerraSAR-X images |
title_full |
Expressway deformation mapping using high-resolution TerraSAR-X images |
title_fullStr |
Expressway deformation mapping using high-resolution TerraSAR-X images |
title_full_unstemmed |
Expressway deformation mapping using high-resolution TerraSAR-X images |
title_sort |
expressway deformation mapping using high-resolution terrasar-x images |
publisher |
Informa UK Limited |
publishDate |
2014 |
url |
http://hdl.handle.net/10754/563354 https://doi.org/10.1080/2150704X.2014.891774 |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
Shi, X., Liao, M., Wang, T., Zhang, L., Shan, W., & Wang, C. (2014). Expressway deformation mapping using high-resolution TerraSAR-X images. Remote Sensing Letters, 5(2), 194–203. doi:10.1080/2150704x.2014.891774 doi:10.1080/2150704X.2014.891774 2150704X Remote Sensing Letters http://hdl.handle.net/10754/563354 |
op_doi |
https://doi.org/10.1080/2150704X.2014.891774 |
container_title |
Remote Sensing Letters |
container_volume |
5 |
container_issue |
2 |
container_start_page |
194 |
op_container_end_page |
203 |
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1786832904632926208 |