date: 2020-02-14T07:45:22Z pdf:PDFVersion: 1.5 pdf:docinfo:title: Differential Ground-Based Radar Interferometry for Slope and Civil Structures Monitoring: Two Case Studies of Landslide and Bridge xmp:CreatorTool: LaTeX with hyperref package access_permission:can_print_degraded: true subject: Ground-based radar interferometry, which can be specifically classified as ground-based synthetic aperture radar (GB-SAR) and ground-based real aperture radar (GB-RAR), was applied to monitor the Liusha Peninsula landslide and Baishazhou Yangtze River Bridge. The GB-SAR technique enabled us to obtain the daily displacement evolution of the landslide, with a maximum cumulative displacement of 20 mm in the 13-day observation period. The virtual reality-based panoramic technology (VRP) was introduced to illustrate the displacement evolutions intuitively and facilitate the following web-based panoramic image browsing. We applied GB-RAR to extract the operational modes of the large bridge and compared them with the global positioning system (GPS) measurement. Through full-scale test and time-frequency result analysis from two totally different monitoring methods, this paper emphasized the 3-D display potentiality by combining the GB-SAR results with VRP, and focused on the detection of multi-order resonance frequencies, as well as the configure improvement of ground-based radars in bridge health monitoring. dc:format: application/pdf; version=1.5 pdf:docinfo:creator_tool: LaTeX with hyperref package access_permission:fill_in_form: true pdf:encrypted: false dc:title: Differential Ground-Based Radar Interferometry for Slope and Civil Structures Monitoring: Two Case Studies of Landslide and Bridge modified: 2020-02-14T07:45:22Z cp:subject: Ground-based radar interferometry, which can be specifically classified as ground-based synthetic aperture radar (GB-SAR) and ground-based real aperture radar (GB-RAR), was applied to monitor the Liusha Peninsula landslide and Baishazhou Yangtze River Bridge. The GB-SAR technique enabled us to obtain the daily displacement evolution of the landslide, with a maximum cumulative displacement of 20 mm in the 13-day observation period. The virtual reality-based panoramic technology (VRP) was introduced to illustrate the displacement evolutions intuitively and facilitate the following web-based panoramic image browsing. We applied GB-RAR to extract the operational modes of the large bridge and compared them with the global positioning system (GPS) measurement. Through full-scale test and time-frequency result analysis from two totally different monitoring methods, this paper emphasized the 3-D display potentiality by combining the GB-SAR results with VRP, and focused on the detection of multi-order resonance frequencies, as well as the configure improvement of ground-based radars in bridge health monitoring. pdf:docinfo:subject: Ground-based radar interferometry, which can be specifically classified as ground-based synthetic aperture radar (GB-SAR) and ground-based real aperture radar (GB-RAR), was applied to monitor the Liusha Peninsula landslide and Baishazhou Yangtze River Bridge. The GB-SAR technique enabled us to obtain the daily displacement evolution of the landslide, with a maximum cumulative displacement of 20 mm in the 13-day observation period. The virtual reality-based panoramic technology (VRP) was introduced to illustrate the displacement evolutions intuitively and facilitate the following web-based panoramic image browsing. We applied GB-RAR to extract the operational modes of the large bridge and compared them with the global positioning system (GPS) measurement. Through full-scale test and time-frequency result analysis from two totally different monitoring methods, this paper emphasized the 3-D display potentiality by combining the GB-SAR results with VRP, and focused on the detection of multi-order resonance frequencies, as well as the configure improvement of ground-based radars in bridge health monitoring. pdf:docinfo:creator: Jiyuan Hu, Jiming Guo, Yi Xu, Lv Zhou, Shuai Zhang and Kunfei Fan PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/W32TeX) kpathsea version 6.2.3 meta:author: Jiyuan Hu, Jiming Guo, Yi Xu, Lv Zhou, Shuai Zhang and Kunfei Fan trapped: False meta:creation-date: 2019-12-04T11:01:58Z created: Wed Dec 04 12:01:58 CET 2019 access_permission:extract_for_accessibility: true Creation-Date: 2019-12-04T11:01:58Z Author: Jiyuan Hu, Jiming Guo, Yi Xu, Lv Zhou, Shuai Zhang and Kunfei Fan producer: pdfTeX-1.40.18 pdf:docinfo:producer: pdfTeX-1.40.18 dc:description: Ground-based radar interferometry, which can be specifically classified as ground-based synthetic aperture radar (GB-SAR) and ground-based real aperture radar (GB-RAR), was applied to monitor the Liusha Peninsula landslide and Baishazhou Yangtze River Bridge. The GB-SAR technique enabled us to obtain the daily displacement evolution of the landslide, with a maximum cumulative displacement of 20 mm in the 13-day observation period. The virtual reality-based panoramic technology (VRP) was introduced to illustrate the displacement evolutions intuitively and facilitate the following web-based panoramic image browsing. We applied GB-RAR to extract the operational modes of the large bridge and compared them with the global positioning system (GPS) measurement. Through full-scale test and time-frequency result analysis from two totally different monitoring methods, this paper emphasized the 3-D display potentiality by combining the GB-SAR results with VRP, and focused on the detection of multi-order resonance frequencies, as well as the configure improvement of ground-based radars in bridge health monitoring. Keywords: GB-SAR; GB-RAR; VRP; displacement evolution; operational modes access_permission:modify_annotations: true dc:creator: Jiyuan Hu, Jiming Guo, Yi Xu, Lv Zhou, Shuai Zhang and Kunfei Fan description: Ground-based radar interferometry, which can be specifically classified as ground-based synthetic aperture radar (GB-SAR) and ground-based real aperture radar (GB-RAR), was applied to monitor the Liusha Peninsula landslide and Baishazhou Yangtze River Bridge. The GB-SAR technique enabled us to obtain the daily displacement evolution of the landslide, with a maximum cumulative displacement of 20 mm in the 13-day observation period. The virtual reality-based panoramic technology (VRP) was introduced to illustrate the displacement evolutions intuitively and facilitate the following web-based panoramic image browsing. We applied GB-RAR to extract the operational modes of the large bridge and compared them with the global positioning system (GPS) measurement. Through full-scale test and time-frequency result analysis from two totally different monitoring methods, this paper emphasized the 3-D display potentiality by combining the GB-SAR results with VRP, and focused on the detection of multi-order resonance frequencies, as well as the configure improvement of ground-based radars in bridge health monitoring. dcterms:created: 2019-12-04T11:01:58Z Last-Modified: 2020-02-14T07:45:22Z dcterms:modified: 2020-02-14T07:45:22Z title: Differential Ground-Based Radar Interferometry for Slope and Civil Structures Monitoring: Two Case Studies of Landslide and Bridge xmpMM:DocumentID: uuid:815a102a-8c0b-491f-ac5b-abd51bee9f11 Last-Save-Date: 2020-02-14T07:45:22Z pdf:docinfo:keywords: GB-SAR; GB-RAR; VRP; displacement evolution; operational modes pdf:docinfo:modified: 2020-02-14T07:45:22Z meta:save-date: 2020-02-14T07:45:22Z pdf:docinfo:custom:PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/W32TeX) kpathsea version 6.2.3 Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Jiyuan Hu, Jiming Guo, Yi Xu, Lv Zhou, Shuai Zhang and Kunfei Fan dc:subject: GB-SAR; GB-RAR; VRP; displacement evolution; operational modes access_permission:assemble_document: true xmpTPg:NPages: 17 access_permission:extract_content: true access_permission:can_print: true pdf:docinfo:trapped: False meta:keyword: GB-SAR; GB-RAR; VRP; displacement evolution; operational modes access_permission:can_modify: true pdf:docinfo:created: 2019-12-04T11:01:58Z