From: CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering
Methods | OA | AA | Kappa | OA | AA | Kappa |
---|---|---|---|---|---|---|
 | IP (k = 2) | Salinas (k = 3) | ||||
PCA | 90.01 ± 0.1 | 90.52 ± 0.2 | 88.67 ± 0.1 | 96.44 ± 0.1 | 98.36 ± 0.1 | 96.34 ± 0.1 |
2D-CAE | 65.39 ± 0.2 | 51.39 ± 0.2 | 60.04 ± 0.2 | 85.97 ± 0.2 | 91.65 ± 0.2 | 84.36 ± 0.2 |
3D-CAE | 70.50 ± 0.2 | 55.84 ± 0.3 | 61.21 ± 0.2 | 87.02 ± 0.2 | 91.71 ± 0.2 | 85.94 ± 0.2 |
 | KSC (k = 2) | Botswana (k = 3) | ||||
PCA | 95.25 ± 0.1 | 93.05 ± 0.1 | 94.98 ± 0.1 | 96.43 ± 0.2 | 97.1 ± 0.2 | 96.13 ± 0.2 |
2D-CAE | 90.02 ± 0.2 | 84.39 ± 0.2 | 88.87 ± 0.2 | 91.26 ± 0.2 | 91.84 ± 0.2 | 90.52 ± 0.2 |
3D-CAE | 91.10 ± 0.2 | 85.62 ± 0.2 | 89.46 ± 0.2 | 93.12 ± 0.2 | 93.44 ± 0.2 | 91.45 ± 0.2 |
 | PU (k=2) | Houston (k=2) | ||||
PCA | 96.18 ± 0.1 | 95.10 ± 0.1 | 95.00 ± 0.1 | 98.49 ± 0.1 | 98.38 ± 0.1 | 98.36 ± 0.1 |
2D-CAE | 80.94 ± 0.2 | 75.85 ± 0.2 | 73.85 ± 0.1 | 51.57 ± 0.4 | 54.00 ± 0.4 | 47.76 ± 0.4 |
3D-CAE | 81.47 ± 0.2 | 78.45 ± 0.1 | 74.99 ± 0.2 | 74.35 ± 0.3 | 73.81 ± 0.4 | 72.25 ± 0.3 |