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...

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Autores principales:	Wentao Zhou, Wenjun Zhang, Xinchun Yang, Weiqiang Wu
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	GNSS InSAR HVCE-BPNN method three-dimensional deformation mining subsidence Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/f342c7380ebe4325b51e6a93bc0d3045
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spelling	oai:doaj.org-article:f342c7380ebe4325b51e6a93bc0d30452021-12-01T00:00:59ZAn Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining Area2169-353610.1109/ACCESS.2021.3129521https://doaj.org/article/f342c7380ebe4325b51e6a93bc0d30452021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9622216/https://doaj.org/toc/2169-3536Accurate 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.Wentao ZhouWenjun ZhangXinchun YangWeiqiang WuIEEEarticleGNSSInSARHVCE-BPNN methodthree-dimensional deformationmining subsidenceElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 155839-155850 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	GNSS InSAR HVCE-BPNN method three-dimensional deformation mining subsidence Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	GNSS InSAR HVCE-BPNN method three-dimensional deformation mining subsidence Electrical engineering. Electronics. Nuclear engineering TK1-9971 Wentao Zhou Wenjun Zhang Xinchun Yang Weiqiang Wu An Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining Area
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.
format	article
author	Wentao Zhou Wenjun Zhang Xinchun Yang Weiqiang Wu
author_facet	Wentao Zhou Wenjun Zhang Xinchun Yang Weiqiang Wu
author_sort	Wentao Zhou
title	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_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_sort	improved gnss and insar fusion method for monitoring the 3d deformation of a mining area
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/f342c7380ebe4325b51e6a93bc0d3045
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An Improved GNSS and InSAR Fusion Method for Monitoring the 3D Deformation of a Mining Area

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