结合大核选择性卷积增强模块的遥感图像匹配网络
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邓煜曦, 李佳田, 刘佳音, 罗欣, 杨涛
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A remote sensing image matching network combining a large selective kernel-enhanced convolution module
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DENG Yuxi, LI Jiatian, LIU Jiayin, LUO Xin, YANG Tao
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表2 WHU-RS19数据集精度比较
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Tab.2 WHU-RS19 datasets Precision comparison
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| 方法 | PCK值 | MSE | RMSE | MAE | CMR/% | | α=0.1 | α=0.05 | | SuperPoint | 0.76 | 0.74 | 14.51 | 3.81 | 0.50 | 80.21 | | R2D2 | 0.82 | 0.81 | 26.03 | 5.10 | 0.50 | 78.92 | | NCNet | 0.84 | 0.83 | 101.34 | 10.01 | 1.04 | 77.27 | | Sparse-NCNet | 0.81 | 0.80 | 15.60 | 3.95 | 0.41 | 91.74 | | LoFTR | 0.92 | 0.83 | 26.34 | 5.13 | 1.07 | 85.28 | | Two-Stream | 0.88 | 0.81 | 1.88 | 1.37 | 0.87 | 91.44 | | 本文方法 | 0.93 | 0.84 | 1.74 | 1.31 | 0.57 | 91.53 |
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