Research Article
HMFT: Hyperspectral and Multispectral Image Fusion Super-Resolution Method Based on Efficient Transformer and Spatial-Spectral Attention Mechanism
Table 1
Average QIs and associated standard deviations for the results on 11 testing images on the CAVE data set.
| Method | PSNR | SAM | ERGAS | RMSE | CC | SSIM |
| FUSE | 46.57 | 5.26 | 1.96 | 1.4563 | 0.9976 | 0.9893 | GLP-HS | 44.45 | 7.60 | 2.34 | 1.8354 | 0.9968 | 0.9778 | CSTF | 44.78 | 5.04 | 2.19 | 1.6877 | 0.9975 | 0.9899 | MHFnet | 46.60 | 3.37 | 2.01 | 0.0060 | 0.9978 | 0.9920 | HSRnet | 47.25 | 3.00 | 1.54 | 0.0050 | 0.9989 | 0.9913 | Ours | 51.31 | 1.93 | 1.08 | 0.0032 | 0.9993 | 0.9959 | Best value | +∞ | 0 | 0 | 0 | 1 | 1 |
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The best values are underlined.
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