多感受野特征与空谱注意力结合的高光谱图像超分辨率算法
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曲海成, 王雅萱, 申磊
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Hyperspectral super-resolution combining multi-receptive field features with spectral-spatial attention
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QU Haicheng, WAND Yaxuan, SHEN Lei
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表2 在Chikusei数据集上不同算法的对比结果
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Tab.2 Comparison results of different algorithms on the Chikusei dataset
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算法 | RMSE↓ | MPSNR↑ | CC↑ | SAM↓ | ERGAS↓ | MSSIM↑ | Bicubic | 0.015 6 | 37.637 7 | 0.921 2 | 3.404 0 | 6.756 4 | 0.894 9 | VDSR | 0.014 8 | 37.775 5 | 0.922 7 | 3.664 2 | 6.870 8 | 0.906 5 | TLCNN | 0.015 0 | 37.725 1 | 0.919 6 | 3.857 3 | 6.752 2 | 0.900 8 | 3DCNN | 0.014 0 | 38.609 1 | 0.935 5 | 3.117 4 | 6.002 6 | 0.912 7 | GDRRN | 0.013 7 | 38.719 8 | 0.936 9 | 2.500 0 | 5.954 0 | 0.919 3 | DeepPrior | 0.014 7 | 38.192 3 | 0.929 3 | 3.559 0 | 6.209 6 | 0.901 0 | 本文算法 | 0.012 2① | 39.869 7 | 0.951 5 | 2.444 6 | 5.191 5 | 0.937 6 |
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