多源遥感影像深度特征融合匹配算法
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王龙号, 蓝朝桢, 姚富山, 侯慧太, 武蓓蓓
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Multi-source Remote Sensing Image Deep Feature Fusion Matching Algorithm
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WANG Longhao, LAN Chaozhen, YAO Fushan, HOU Huitai, WU Beibei
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表2 匹配试验结果对比
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Tab. 2 Comparison of registration test results
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| 影像组别 | | 第1组 | 第2组 | 第3组 | 第4组 | 第5组 | 第6组 | | P/对 | SuperPoint | 56 | 4 | 76 | 94 | 10 | 2 | | ContextDesc | 27 | 0 | 17 | 107 | 39 | 0 | | SIFT | 0 | 0 | 21 | 68 | 42 | 0 | | LoFTR | 165 | 598 | 49 | 701 | 59 | 84 | | FFM | 321 | 416 | 246 | 267 | 165 | 30 | | MA/% | SuperPoint | 13.1 | 1.9 | 22.2 | 40.5 | 34.48 | 3.17 | | ContextDesc | 39 | 0 | 23.9 | 71.8 | 62.9 | 0 | | SIFT | 0 | 0 | 6.1 | 20.0 | 45.65 | 0 | | LoFTR | 21.02 | 53.35 | 22.48 | 70.67 | 32.96 | 92.3 | | FFM | 94.1 | 71.6 | 54.91 | 63.4 | 93.2 | 23.8 | | RMSE | SuperPoint | 5.3140 | 38.8776 | 3.3387 | 4.3474 | 10.4386 | - | | ContextDesc | 16.2799 | - | 8.3289 | 4.6065 | 10.729 | - | | SIFT | - | - | 7.8878 | 4.551 | 8.53 | - | | LoFTR | 7.4840 | 5.9680 | 4.3220 | 3.0455 | 4.85276 | 3.2743 | | FFM | 2.9675 | 3.3287 | 1.3759 | 2.87 | 3.89 | 3.1744 | | t | SuperPoint | 1.0 | 1.2 | 0.7 | 0.5 | 0.43 | 0.43 | | ContextDesc | 5.9 | 5.1 | 3.6 | 3.2 | 2 | 2.6 | | SIFT | 5.1 | 5.1 | 3.1 | 3.2 | 1.5 | 2.5 | | LoFTR | 1.3 | 1.5 | 1.1 | 1.0 | 0.8 | 0.9 | | FFM | 1.4 | 1.7 | 1.2 | 1.5 | 1.1 | 1.1 |
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