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Table 5 Numerical results of the real QuickBird-1 dataset

From: Pansharpening based on convolutional autoencoder and multi-scale guided filter

Method Ds(0) Dλ(0) QNR(1)
Proposed 0.1289 0.0008 0.9699
PNN 0.1957 0.2305 0.8976
MSGF 0.151 0.019 0.9603
CAE 0.16027 0.001 0.9620
MTF-GLP 0.15097 0.068214 0.94468
Indusion 0.13001 0.042951 0.95876
SFIM 0.13109 0.052531 0.95375
PRACS 0.1834 0.0382 0.9469
BDSD 0.1998 0.1235 0.92189
IHS 0.24386 0.06756 0.91959
AIHS 0.22026 0.043312 0.93374
PCA 0.24261 0.05516 0.92611