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Metal Mine ›› 2023, Vol. 52 ›› Issue (01): 102-109.

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Subsidence Monitoring and Prediction of Tailings Pond Combined with SBAS-InSAR and GS-LSTM

LI Ruren SUN Jiayao #br#   

  1. School of Transportation and Geomatics Engineering,Shenyang Jianzhu University,Shenyang 110168,China
  • Online:2023-01-15 Published:2023-02-03

Key words: SBAS-InSAR,tailings pond,LSTM neural network,prediction model