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Metal Mine ›› 2023, Vol. 52 ›› Issue (01): 126-133.

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Prediction Method of Surface Subsidence in Mining Area by the Integration of SBAS-InSAR Technique and TSO-LSTM Model

XIAO Haiping1 XIA Yiqiang1 LIU Xiaosheng1 CHEN Lanlan2 #br#   

  1. 1. School of Architectural and Surveying Engineering,Jiangxi University of Science and Technology,Ganzhou Jiangxi 341000,China;2. College of Resources and Architectural Engineering,Gannan University of Science and Technology,Ganzhou 341000,China
  • Online:2023-01-15 Published:2023-02-03

Key words: mining subsidence,deep learning,TSO,long short-term memory,subsidence prediction,SBAS-InSAR,TSOLSTM