Application of InSAR Extension and Fusion Techniques in Mining Monitoring

Abstract

Abstract: The feasibility of the application of InSAR and its extension and data fusion techniques in mining monitoring is studied.The analysis indicates that its application in mines will not be limited to monitoring the ground surface subsidence, it can also play an important role in monitoring the tailing instability and spontaneous combustion, surveying for mine topographic map revision and mending, and monitoring the mining of illegal mines.Therefore, it can be seen that InSAR technology has very wide application prospect in mining monitoring.

Key words: InSAR, Data fusion, Mining, Monitoring, Applicatio

FAN Hong-Dong, DENG Ka-Zhong, CHENG Da-Yu. Application of InSAR Extension and Fusion Techniques in Mining Monitoring[J]. Metal Mine, 2008, 38(04): 7-10.

[1]	LIN Tao, FAN Hongdong, SUN Ye, LI Xiangwei, ZHUANG Huifu. Study on Automatic Identification Method of Wide-area InSAR Mining Subsidence Area Based on U2-Net [J]. Metal Mine, 2024, 53(4): 177-.
[2]	LI Ruren, GE Yongquan, LI Mengchen, SUN Jiayao, WANG Yanping, LIU Mingxia. Stability Analysis and Deformation Prediction of Open-Pit Mine Slopes Based on InSAR and COMSOL [J]. Metal Mine, 2024, 53(3): 172-.
[3]	WU Hao, FAN Hongdong, ZHENG Chunliu, LIU Jiuli. Deformation Monitoring and Analysis of Tailings Dam Based on DS-InSAR:A Case Study of Brumadinho Mine in Brazil [J]. Metal Mine, 2023, 52(03): 169-176.
[4]	WANG Yu, WANG Lei, LI Jingyu, JIANG Kegui, LI Shibao, YANG Ke, LIU Hongjiang. Full-scale Gradient Surface Deformation Monitoring in Mining Area Based on LEV-InSAR Model [J]. Metal Mine, 2023, 52(01): 134-141.
[5]	XIAO Haiping, XIA Yiqiang, LIU Xiaosheng, CHEN Lanlan. Prediction Method of Surface Subsidence in Mining Area by the Integration of SBAS-InSAR Technique and TSO-LSTM Model [J]. Metal Mine, 2023, 52(01): 126-133.
[6]	YANG Zefa MA Zelin QIAO Siyu. Delimitation Method of Mining Subsidence Boundary Based on InSAR Technique [J]. Metal Mine, 2023, 52(01): 119-125.
[7]	LI Minggeng, ZHANG Shubi, GAO Yandong, LI Shijin, ZHANG Yansuo, JIA Yikun, KONG Lingchen. Optimized DS-InSAR Technology for Time Series Deformation Monitoring in Open-pit Mines [J]. Metal Mine, 2023, 52(01): 110-118.
[8]	LI Ruren SUN Jiayao. Subsidence Monitoring and Prediction of Tailings Pond Combined with SBAS-InSAR and GS-LSTM [J]. Metal Mine, 2023, 52(01): 102-109.
[9]	ZHANG Lianpeng, LIANG Liang, CHEN Bingqian, HU Jinshan, YU Yang, QIN Lu, YU Hao, YANG Jiale, YANG Yu. Spatio-temporal Monitoring and Analysis Method of Multi-dimensional Surface Deformation of Closed Mines Based on SBAS-InSAR Technique [J]. Metal Mine, 2023, 52(01): 83-94.
[10]	JIAO Runcheng, GUO Xuefei, NAN Yun, YANG Honglei, CAO Ying, WANG Shengyu, YAN Chi, HAN Jianfeng, MA Xiaoxue, ZHAO Danning, NI Xuan, MA Chi. Comprehensive Remote Sensing Technology for Goaf-Landslide-Debris Flow Disaster Chain Identification and Evaluation [J]. Metal Mine, 2023, 52(01): 73-82.
[11]	CHEN Guoliang, SHI Hongtao, WANG Yunjia, ZHOU Dawei, LIU Xin, WANG Xingfeng, ZHUANG Huifu. Integrated Space-Air-Ground-Human Monitoring and Multiple Parameters Intelligence Sensing of Mine Geological Environment [J]. Metal Mine, 2023, 52(01): 9-16.
[12]	LIU Panfeng, LUO Xianrong, WEN Meilan, ZHENG Chaojie, OUYANG Fei, SHAN Jiangtao, GAO Wen. Main Study Progress and Prospect of Geo-electrochemistry Technology in China [J]. Metal Mine, 2022, 51(11): 10-22.
[13]	WANG Bo, TAN Zhixiang, DENG Kazhong. Time Series Monitoring and Analysis of Surface Subsidence in Western Mining Areas Based on DS-InSAR [J]. Metal Mine, 2022, 51(05): 160-169.
[14]	RAO Jinshan, CHEN Zhiqiang, HU Hongxi, LIU Chao, LIANG Dongyun, LÜ Haozi. Reseach on Lead Sulfide Flotation Process with Direct Reuse of Recycle Water [J]. Metal Mine, 2022, 51(03): 111-117.
[15]	YIN Wanzhong, TANG Yuan. Current Status in Study of Genetic Flotation of Minerals [J]. Metal Mine, 2021, 50(01): 42-54.

扫码分享

Application of InSAR Extension and Fusion Techniques in Mining Monitoring

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments