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

Zhiwei Wang; Yue Zhao; Xiang Wang; Guojian Zhang; Wenzhuang Ding

doi:10.1117/12.3024537

21 February 2024 Monitoring mine deformation by Integrating SBAS-InSAR and probabilistic integral method

Zhiwei Wang, Yue Zhao, Xiang Wang, Guojian Zhang, Wenzhuang Ding

Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 129880X (2024) https://doi.org/10.1117/12.3024537
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhiwei Wang, Yue Zhao, Xiang Wang, Guojian Zhang, and Wenzhuang Ding "Monitoring mine deformation by Integrating SBAS-InSAR and probabilistic integral method", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 129880X (21 February 2024); https://doi.org/10.1117/12.3024537

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KEYWORDS

Mining

Data modeling

Deformation

Synthetic aperture radar

Imaging systems

Radar

Phase interferometry

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