Table 3 Numerical results of the full reference QuickBird-2 dataset
From: Pansharpening based on convolutional autoencoder and multi-scale guided filter
Method | CC(1) | UIQI(1) | RMES(0) | RASE(0) | SAM(0) | ERGAS(0) | Q4(1) |
|---|---|---|---|---|---|---|---|
IHS | 0.94819 | 0.95489 | 16.013 | 10.565 | 2.9752 | 2.6898 | 0.85877 |
AIHS | 0.96171 | 0.96337 | 13.465 | 9.8843 | 2.8699 | 2.2927 | 0.8984 |
PCA | 0.95507 | 0.95906 | 15.256 | 10.066 | 2.9418 | 2.557 | 0.84805 |
BDSD | 0.9425 | 0.9547 | 16.41 | 10.828 | 3.0727 | 2.7548 | 0.85536 |
PRACS | 0.96067 | 0.97082 | 13.29 | 8.7685 | 3.0473 | 2.2505 | 0.89358 |
SFIM | 0.92309 | 0.9339 | 19.612 | 12.94 | 3.0571 | 3.2638 | 0.82182 |
Indusion | 0.93623 | 0.94457 | 17.754 | 11.714 | 2.9083 | 2.9657 | 0.82554 |
MTF-GLP | 0.93661 | 0.94967 | 17.309 | 11.42 | 2.9938 | 2.9018 | 0.85643 |
CAE | 0.96082 | 0.96583 | 18.999 | 12.535 | 2.871 | 3.1639 | 0.8957 |
MSGF | 0.9372 | 0.94047 | 18.635 | 12.295 | 2.9182 | 3.1012 | 0.90274 |
PNN | 0.92756 | 0.93768 | 19.765 | 13.041 | 3.8949 | 3.2934 | 0.84088 |
Proposed | 0.96366 | 0.97157 | 13.286 | 8.7657 | 2.7686 | 2.2271 | 0.90617 |