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Table 4 Numerical results of the full reference GeoEye-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 0.94344 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