结合时序InSAR与IRIME-LSTM模型的大范围矿区地表沉降预测

陈兰兰, 范永超, 肖海平, 万俊辉, 陈磊

Predicting surface subsidence in large-scale mining areas based on time-series InSAR and the IRIME-LSTM model

CEHN Lanlan, FAN Yongchao, XIAO Haiping, WAN Junhui, CHEN Lei

表3 单步预测的绝对误差具体分类及占比

Tab.3 Specific classification and its proportion of absolute error in single step prediction

绝对误差区间/mm IRIME-LSTM RIME-LSTM GS-LSTM 高相干点数 所占比例/% 高相干点数 所占比例/% 高相干点数 所占比例/% (0,2] 11 280 92.62 9 010 73.98 6 594 54.14 (2,4] 551 4.52 2 439 20.03 3 770 30.96 (4,6] 184 1.51 434 3.56 1 339 10.99 >6 164 1.35 296 2.43 476 3.91