Research Article
Remote Sensing Image Fusion Algorithm Based on Two-Stream Fusion Network and Residual Channel Attention Mechanism
Table 2
Evaluation indicators of different remote sensing image fusion algorithms under WorldView-2 satellite datasets.
| Reference comparison |
| Methods | SCC | SSIM | Q | PSNR | ERGAS | SAM |
| Brovey | 0.8481 | 0.7095 | 0.5476 | 43.1899 | 5.8498 | 0.1004 | PCA | 0.8903 | 0.7031 | 0.4028 | 44.2140 | 4.7886 | 0.1069 | IHS | 0.8732 | 0.6831 | 0.4642 | 44.2607 | 5.0181 | 0.0951 | SFIM | 0.9139 | 0.7472 | 0.6146 | 44.6207 | 3.8994 | 0.0937 | MTF_GTP | 0.8858 | 0.6751 | 0.4254 | 44.8155 | 4.8367 | 0.0867 | CNMF | 0.9271 | 0.7706 | 0.6139 | 45.7792 | 3.8437 | 0.0888 | PNN | 0.9281 | 0.7791 | 0.6252 | 45.9311 | 3.7992 | 0.0885 | DPRNN | 0.9312 | 0.7825 | 0.6371 | 46.6754 | 3.5910 | 0.0851 | PanNet | 0.9350 | 0.7838 | 0.6215 | 46.2696 | 3.5771 | 0.0816 | Our algorithm | 0.9422 | 0.7891 | 0.6432 | 47.5762 | 3.4545 | 0.0656 |
| Nonreference comparison |
| Methods | | | QNR |
| Brovey | 0.1002 | 0.1063 | 0.8041 | PCA | 0.0911 | 0.0401 | 0.8724 | IHS | 0.0897 | 0.1143 | 0.8063 | SFIM | 0.0649 | 0.1257 | 0.8175 | MTF_GLP | 0.0624 | 0.0764 | 0.8643 | CNMF | 0.0595 | 0.1687 | 0.7818 | PNN | 0.0523 | 0.1022 | 0.8508 | DPRNN | 0.0448 | 0.0540 | 0.9036 | PanNet | 0.0323 | 0.0274 | 0.9412 | Our algorithm | 0.0204 | 0.0128 | 0.9671 |
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