Pansharpening On Worldview 3 Adelaide
Métriques
D_lambda
D_lambda_aligned
D_rho
R-ERGAS
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | D_lambda | D_lambda_aligned | D_rho | R-ERGAS | Paper Title | Repository |
|---|---|---|---|---|---|---|
| Lambda-PNN | 0.095 | 0.021 | 0.044 | 1.978 | Unsupervised Deep Learning-based Pansharpening with Jointly-Enhanced Spectral and Spatial Fidelity | |
| Fast Z-PNN | 0.1373 | - | 0.1389 | - | Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening Framework | |
| Z-PNN | 0.1482 | - | 0.1360 | - | Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening Framework |
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