基于多特征重构的三维目标反演算法
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薛雅丽,周李尊,王林飞,欧阳权
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Three-dimensional target inversion algorithm based on multi-feature reconstruction
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Yali XUE,Lizun ZHOU,Linfei WANG,Quan OUYANG
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| 表 3 3种反演网络的平均绝对误差、全局绝对准确率和局部相对准确率 |
| Tab.3 Mean absolute error, global absolute accuracy, and local relative accuracy of three inversion networks |
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| 网络 | MAE/10−3 | Eacc/% | | Racc/% | | t1 = 0.001 | t1 = 0.01 | t1 = 0.1 | t2 = 1.05 | t2 = 1.10 | t2 = 1.15 | t2 = 1.20 | | 3D U-Net | 1.10 | 98.86 | 98.98 | 99.61 | | 21.43 | 37.55 | 49.51 | 58.33 | | DecNet | 1.70(+0.60) | 98.84(−0.01) | 98.95(−0.03) | 99.60(−0.01) | 20.92(−0.51) | 37.34(−0.21) | 48.97(−0.54) | 56.83(−1.50) | | MRNet | 0.78(−0.32) | 98.93(+0.08) | 99.25(+0.27) | 99.88(+0.27) | 53.00(+31.58) | 75.27(+37.71) | 84.67(+35.16) | 88.91(+30.58) |
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