Table 6 Numerical results of the real QuickBird-2 dataset
From: Pansharpening based on convolutional autoencoder and multi-scale guided filter
Method | Ds(0) | Dλ(0) | QNR(1) |
|---|---|---|---|
Proposed | 0.13935 | 0.081319 | 0.96598 |
PNN | 0.181486 | 0.095215 | 0.96407 |
MSGF | 0.082709 | 0.102 | 0.96379 |
CAE | 0.19834 | 0.093565 | 0.94344 |
MTF-GLP | 0.13929 | 0.092786 | 0.93708 |
Indusion | 0.030669 | 0.087048 | 0.96348 |
SFIM | 0.066346 | 0.14364 | 0.93699 |
PRACS | 0.124 | 0.09274 | 0.9646 |
BDSD | 0.3088 | 0.0974 | 0.9593 |
IHS | 0.2534 | 0.10823 | 0.91008 |
AIHS | 0.16242 | 0.095591 | 0.93691 |
PCA | 0.28645 | 0.13137 | 0.90127 |