A DPIM-InSAR method for monitoring mining subsidence based on deformation information of the working face after mining has ended

Jiang, Chuang; Wang, Lei; Yu, Xuexiang; Chi, Shenshen; Wei, Tao; Guo, Zhongchen

doi:10.1080/01431161.2021.1931540

Cited by 5 publications

(1 citation statement)

References 30 publications

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“…In order to solve the problem of monitoring the surface deformation in the center of the mine, the PIM proposed by Liu Baochen and Liao Guohua, which obtains the deformation of the mine area by setting up a measuring station on the surface of the working face, and solving the projected parameters of PIM according to the measured data [3] . PIM contains more unknown parameters and requires more measured data.The inefficient and costly way of obtaining measurement data by deploying measurement stations and the fact that the measurement points may be located in mine areas with no subsidence leads to low reliability of the expected parameters of the inversion.Thus the inappropriate choice of data makes the PIM defective in realizing the deformation of the mine area.…”

Section: Introductionmentioning

confidence: 99%

Monitoring mine deformation by Integrating SBAS-InSAR and probabilistic integral method

Wang,

Zhao,

Wang

et al. 2024

Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023)

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This paper integrates small baseline subset-interferometric synthetic aperture rada(SBAS-InSAR) and probabilistic integral model(PIM) for deformation monitoring in mining area, on the one hand, it solves the limitation that SBAS-InSAR technology cannot obtain the large gradient deformation in the center of the mining area, and enhances the ability of InSAR technology to monitor the large gradient deformation; on the other hand, it confirms the feasibility of the InSAR results for solving the parameters of PIM, and improves the time-consuming and labor-consuming shortcomings of the model based on the leveling data. The method firstly utilizes the SBAS-lnSAR technique to obtain the deformation of the mining area, and secondly constructs the fitness function through a hybrid genetic algorithm-simulated annealing (GA-SA) algorithm based on the side-view imaging principle of the radar system, and finally obtains the results of the deformation and subsidence of the mine area. Taking a north mine in Heze, Shandong Province as the study area, the Sentinel-1A data with a time span of 29 months are used for verification, and the results show that the inversion of PIM parameters from SAR data and the construction of the model with the hybrid GA-SA algorithm have small errors in the L1 and L2 lines, which are in line with the accuracy of engineering applications.

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Section: Introductionmentioning

confidence: 99%