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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