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基于InSAR技术的矿区地表形变监测研究

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探讨了利用InSAR(Interferometric Synthetic Aperture Radar,合成孔径雷达干涉)技术进行的矿山地面形变监测手段.采取了变分模态分解算法拆解矿区的地貌,同时运用了由麻雀搜索算法改良的长短期记忆神经网络预测模型预估地面形状.详细探讨了研究区的地表形变概况、形变分析、精度验证和InSAR监测结果.通过对比和分析,评估了InSAR技术的可行性和实用性,为今后类似工作提供了参考.
Surface Deformation Monitoring of Mining Area Based on InSAR Technology
The monitoring method of mine surface deformation using InSAR(Interferometric Synthetic Aperture Radar)technology was discussed.Variational mode decomposition algorithm was adopted to disassemble the landform of the mining area,and a long short-term memory neural network model improved by sparrow search algorithm was used to predict the ground shape.The general situation,deformation analysis,accuracy verification and InSAR monitoring results of surface deformation in the study area were discussed in detail.Through comparison and analysis,the feasibility and practicability of InSAR technology were evaluated,which can provide reference for similar work in the future.

InSARmining areasurface deformation monitoring

裴绍军

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山西寿阳潞阳祥升煤业有限公司,山西 晋中 045400

InSAR 矿区 地表形变监测

2024

能源与节能
山西省能源研究会 山西省节能研究会

能源与节能

影响因子:0.561
ISSN:2095-0802
年,卷(期):2024.(10)