Table 2 Numerical results of the full reference QuickBird-1 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 | 0.91446 | 0.93471 | 18.509 | 12.673 | 3.837 | 3.2713 | 0.8211 |
AIHS | 0.93518 | 0.95778 | 15.045 | 10.301 | 3.7497 | 2.7063 | 0.88383 |
PCA | 0.93743 | 0.94871 | 16.408 | 11.234 | 3.6063 | 2.9025 | 0.84805 |
BDSD | 0.92229 | 0.95204 | 16.435 | 11.253 | 3.7728 | 2.9444 | 0.86477 |
PRACS | 0.93038 | 0.95991 | 14.992 | 10.265 | 3.8317 | 2.7466 | 0.86389 |
SFIM | 0.89958 | 0.92403 | 20.297 | 13.897 | 3.6792 | 3.5142 | 0.81325 |
Indusion | 0.91806 | 0.93911 | 17.967 | 12.302 | 3.5524 | 3.1483 | 0.81981 |
MTF-GLP | 0.91144 | 0.93984 | 18.306 | 12.534 | 3.6399 | 3.2217 | 0.84308 |
CAE | 0.94467 | 0.95735 | 23.955 | 16.402 | 3.3501 | 4.1479 | 0.8968 |
MSGF | 0.9264 | 0.93907 | 18.165 | 12.437 | 3.3836 | 3.1604 | 0.88853 |
PNN | 0.89955 | 0.92229 | 21.857 | 14.965 | 4.8681 | 3.7866 | 0.8183 |
Proposed | 0.94563 | 0.96355 | 14.096 | 9.6514 | 3.3264 | 2.5357 | 0.88685 |