Surface Deformation Monitoring and Prediction of Longtantian Open-Pit Mine Based on SBAS-InSAR and CNN-BiLSTM Techniques

Surface Deformation Monitoring and Prediction of Longtantian Open-Pit Mine Based on SBAS-InSAR and CNN-BiLSTM Techniques

The Longtantian coal mine is a nationally significant large-scale coal mine in China and is listed as one of the Yunnan Province’s coal mines for supply assurance and capacity increase, but extensive mining has caused significant surface deformation, posing safety hazards. High-precision...

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Bibliographic Details
Main Authors: Xiaoxiao Zhang, Qi Chen, Mengshi Yang, Zhifang Zhao, Yu Zheng, Qixue Dai, Yang He, Dayu Cai, Ting Xu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Ablation analysis
cluster analysis
convolutional neural network optimized bidirectional long short-term memory (CNN-BiLSTM)
deformation prediction
small baseline subset interferometric synthetic aperture radar (SBAS-InSAR)
sensitivity analysis
Online Access:https://ieeexplore.ieee.org/document/11074290/
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