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
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马宗方,郝凡,宋琳,麻瑞
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Image Regression and Association-based Feature Fusion for Remote Sensing Image Change Detection
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Zongfang MA,Fan HAO,Lin SONG,Rui MA
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表2 不同方法在Sardinia数据集的变化检测精度
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Table 2 Change detection accuracy of different methods on Sardinia dataset
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方法 | FN | FP | OE | Ra | Rp | Rm | Rf | Ka |
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PCC | 3 323 | 29 550 | 32 873 | 0.734 | 0.127 1 | 0.435 7 | 0.872 9 | 0.118 7 | CVA | 2 234 | 43 278 | 45 512 | 0.631 8 | 0.110 8 | 0.292 9 | 0.889 2 | 0.095 | IR-MAD | 1 740 | 26 884 | 28 624 | 0.768 4 | 0.179 6 | 0.228 2 | 0.820 4 | 0.212 6 | SCCN | 6 220 | 2 078 | 8 298 | 0.932 9 | 0.727 5 | 0.528 6 | 0.272 5 | 0.537 5 | FPMSMCD | 1 522 | 3 390 | 4 912 | 0.960 3 | 0.642 9 | 0.199 6 | 0.357 1 | 0.692 | SCASC | 3 127 | 3 420 | 6 547 | 0.947 | 0.568 1 | 0.41 | 0.431 9 | 0.550 6 | GIR-MRF | 1 852 | 3 291 | 5 143 | 0.958 4 | 0.637 | 0.242 9 | 0.363 | 0.669 7 | IRAF | 1 578 | 1 289 | 2 867 | 0.976 8 | 0.824 3 | 0.206 9 | 0.175 7 | 0.796 1 |
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