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4 第7步预测的绝对误差具体分类及占比
Tab.4 Specific classification and its proportion of absolute error in the seventh step of 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] 7 501 61.59 5 646 46.36 4 469 36.69
(2,4] 2 638 21.66 2 985 24.51 2 897 23.79
(4,6] 831 6.82 1 395 11.45 1 502 12.33
>6 1 209 9.93 2 153 17.68 3 311 27.19