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 | 0.94344 | 0.94327 | 19.622 | 18.015 | 5.6283 | 4.6538 | 0.8837 |
AIHS | 0.95117 | 0.95566 | 17.432 | 16.004 | 5.2561 | 4.0669 | 0.90041 |
PCA | 0.71449 | 0.80704 | 36.19 | 33.227 | 14.476 | 8.9614 | 0.68996 |
BDSD | 0.95674 | 0.96131 | 17.53 | 16.095 | 6.2016 | 4.0897 | 0.91719 |
PRACS | 0.94091 | 0.9545 | 17.857 | 16.395 | 4.6631 | 4.2619 | 0.89865 |
SFIM | 0.7315 | 0.6906 | 57.368 | 52.671 | 6.0017 | 14.559 | 0.89337 |
Indusion | 0.94438 | 0.94489 | 20.182 | 18.529 | 5.8298 | 4.4905 | 0.88997 |
MTF-GLP | 0.95403 | 0.95517 | 18.87 | 17.325 | 6.6894 | 4.248 | 0.90944 |
CAE | 0.95082 | 0.94401 | 26.323 | 24.168 | 5.389 | 5.9969 | 0.8993 |
MSGF | 0.9575 | 0.9571 | 16.217 | 14.791 | 4.6017 | 3.7496 | 0.92439 |
PNN | 0.93825 | 0.91003 | 27.623 | 25.361 | 9.9312 | 5.6757 | 0.86618 |
Proposed | 0.95794 | 0.96376 | 16.103 | 14.784 | 4.8976 | 3.7145 | 0.91728 |