Hyperspectral Image Classification on University of Pavia 30% (train)
99.98Overall Accuracy (OA)HybridSN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| HybridSNTraining Samples=30%2021.04 | 99.98 | 99.98 | 100 | |
| SpectralNETTraining Samples=30%2021.04 | 99.98 | 99.98 | 100 | |
| FuSENetTraining Samples=30%2021.04 | 99.33 | 99.68 | 99.74 | |
| 2D-CNNTraining Samples=30%2021.04 | 96.5 | 96.55 | 95.93 | |
| M3D-CNNTraining Samples=30%2021.04 | 96.5 | 97.6 | 96.5 | |
| 3D-CNNTraining Samples=30%2021.04 | 96 | 96.75 | 96.71 | |
| SVMTraining Samples=30%2021.04 | 95.65 | 94.63 | 94.6 |