Hyperspectral Image Classification on Indian Pines 30% (train)
99.98Overall AccuracyHybridSN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| HybridSNTraining Samples=30%2021.04 | 99.98 | 99.99 | 100 | |
| FuSENetTraining Samples=30%2021.04 | 99.97 | 99.98 | 100 | |
| SpectralNETTraining Samples=30%2021.04 | 99.96 | 99.98 | 100 | |
| 2D-CNNTraining Samples=30%2021.04 | 96.63 | 95.65 | 83.2 | |
| 3D-CNNTraining Samples=30%2021.04 | 96.34 | 94.63 | 89.63 | |
| M3D-CNNTraining Samples=30%2021.04 | 95.95 | 94.6 | 93.13 | |
| SVMTraining Samples=30%2021.04 | 90.58 | 87.24 | 85 |