An Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining Area
Accurate measurement of the surface three-dimensional deformation fields in a mined-out area is essential for understanding the law of mining subsidence and guiding the safe production and construction of mining areas. In this study, we proposed an improved fusion method to monitor this three-dimens...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9622216/ |
| _version_ | 1819022486375759872 |
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| author | Wentao Zhou Wenjun Zhang Xinchun Yang Weiqiang Wu |
| author_facet | Wentao Zhou Wenjun Zhang Xinchun Yang Weiqiang Wu |
| author_sort | Wentao Zhou |
| collection | DOAJ |
| description | Accurate measurement of the surface three-dimensional deformation fields in a mined-out area is essential for understanding the law of mining subsidence and guiding the safe production and construction of mining areas. In this study, we proposed an improved fusion method to monitor this three-dimensional deformation. We used the Helmert variance component estimation (HVCE) method and the back-propagation neural network (BPNN) to fuse the global navigation satellite system (GNSS) and interferometric synthetic aperture radar (InSAR) measurements. Based on this improved fusion method, we measured the three-dimensional deformation in the West Second Mining Area of Jinchuan, Jinchang City, Gansu Province, China, from March 22, 2019, to June 8, 2020. The root mean square errors (RMSEs) based on our method for the three directions of east-west (E-W), north-south (N-S), and up-down (U-D) were 21.4 mm, 7.6 mm, and 34.2 mm, respectively. These RMSE values are lower than those obtained from previous methods. The results show that the spatial distribution of the three-dimensional deformation follows the law of mining subsidence. |
| first_indexed | 2024-12-21T04:23:46Z |
| format | Article |
| id | doaj.art-f342c7380ebe4325b51e6a93bc0d3045 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-21T04:23:46Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f342c7380ebe4325b51e6a93bc0d30452022-12-21T19:16:06ZengIEEEIEEE Access2169-35362021-01-01915583915585010.1109/ACCESS.2021.31295219622216An Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining AreaWentao Zhou0https://orcid.org/0000-0001-8583-1919Wenjun Zhang1Xinchun Yang2Weiqiang Wu3School of Environment and Resource, Southwest University of Science and Technology, Mianyang, ChinaSchool of Environment and Resource, Southwest University of Science and Technology, Mianyang, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, ChinaSchool of Environment and Resource, Southwest University of Science and Technology, Mianyang, ChinaAccurate measurement of the surface three-dimensional deformation fields in a mined-out area is essential for understanding the law of mining subsidence and guiding the safe production and construction of mining areas. In this study, we proposed an improved fusion method to monitor this three-dimensional deformation. We used the Helmert variance component estimation (HVCE) method and the back-propagation neural network (BPNN) to fuse the global navigation satellite system (GNSS) and interferometric synthetic aperture radar (InSAR) measurements. Based on this improved fusion method, we measured the three-dimensional deformation in the West Second Mining Area of Jinchuan, Jinchang City, Gansu Province, China, from March 22, 2019, to June 8, 2020. The root mean square errors (RMSEs) based on our method for the three directions of east-west (E-W), north-south (N-S), and up-down (U-D) were 21.4 mm, 7.6 mm, and 34.2 mm, respectively. These RMSE values are lower than those obtained from previous methods. The results show that the spatial distribution of the three-dimensional deformation follows the law of mining subsidence.https://ieeexplore.ieee.org/document/9622216/GNSSInSARHVCE-BPNN methodthree-dimensional deformationmining subsidence |
| spellingShingle | Wentao Zhou Wenjun Zhang Xinchun Yang Weiqiang Wu An Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining Area IEEE Access GNSS InSAR HVCE-BPNN method three-dimensional deformation mining subsidence |
| title | An Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining Area |
| title_full | An Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining Area |
| title_fullStr | An Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining Area |
| title_full_unstemmed | An Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining Area |
| title_short | An Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining Area |
| title_sort | improved gnss and insar fusion method for monitoring the 3d deformation of a mining area |
| topic | GNSS InSAR HVCE-BPNN method three-dimensional deformation mining subsidence |
| url | https://ieeexplore.ieee.org/document/9622216/ |
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