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 |