Research Article
HMFT: Hyperspectral and Multispectral Image Fusion Super-Resolution Method Based on Efficient Transformer and Spatial-Spectral Attention Mechanism
Table 2
QIs of the results by different methods on the specified flowers test image from the CAVE dataset.
| Flowers (512 × 512 × 31) | Method | PSNR | SAM | ERGAS | RMSE | CC | SSIM |
| FUSE | 49.28 | 5.91 | 1.78 | 0.9656 | 0.9985 | 0.9933 | GLP-HS | 49.85 | 7.11 | 1.61 | 0.8759 | 0.9989 | 0.9916 | CSTF | 48.35 | 5.76 | 1.83 | 1.0001 | 0.9987 | 0.9931 | MHFnet | 52.11 | 3.80 | 1.33 | 0.0027 | 0.9993 | 0.9955 | HSRnet | 50.92 | 3.56 | 1.31 | 0.0029 | 0.9994 | 0.9933 | Ours | 56.29 | 2.20 | 0.74 | 0.0016 | 0.9997 | 0.9976 | Best value | +∞ | 0 | 0 | 0 | 1 | 1 |
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The best values are underlined.
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