一种图像回归与关联关系特征融合的遥感影像变化检测方法

马宗方,郝凡,宋琳,麻瑞

Image Regression and Association-based Feature Fusion for Remote Sensing Image Change Detection

Zongfang MA,Fan HAO,Lin SONG,Rui MA

表3 不同方法在Yellow River数据集的变化检测精度

Table 3 Change detection accuracy of different methods on Yellow River dataset

方法 FN FP OE Ra Rp Rm Rf Ka PCC 977 25 729 26 706 0.732 4 0.084 7 0.290 9 0.915 3 0.097 1 CVA 1 366 24 321 25 687 0.742 6 0.075 7 0.406 7 0.924 3 0.079 4 IR-MAD 1 003 28 989 29 992 0.699 5 0.075 2 0.298 6 0.924 8 0.079 8 SCCN 877 509 1 386 0.986 1 0.829 8 0.261 1 0.170 2 0.774 6 FPMSMCD 312 12 392 12 704 0.872 7 0.197 4 0.092 9 0.802 6 0.284 6 SCASC 469 1 719 2 188 0.978 1 0.627 0.139 6 0.373 0.714 3 GIR-MRF 478 1 408 1 886 0.981 1 0.671 7 0.142 3 0.328 3 0.743 7 IRAF 525 611 1 136 0.988 6 0.822 6 0.156 3 0.177 4 0.827 1