From: CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering
Methods | OA | AA | Kappa | OA | AA | Kappa |
---|---|---|---|---|---|---|
 | IP (k = 2) | Salinas (k = 3) | ||||
HybridSN | 86.99 ± 0.1 | 86.5 ± 0.2 | 85.69 ± 0.1 | 96.74 ± 0.1 | 97.62 ± 0.1 | 96.37 ± 0.1 |
AeroRIT | 74.44 ± 0.2 | 65.5 ± 0.3 | 70.97 ± 0.2 | 95.06 ± 0.1 | 97.7 ± 0.1 | 94.49 ± 0.1 |
U-Net | 87.25 ± 0.1 | 87.8 ± 0.2 | 85.64 ± 0.1 | 96.78 ± 0.1 | 98.24 ± 0.1 | 96.37 ± 0.1 |
CEU-Net | 90.01 ± 0.1 | 90.52 ± 0.2 | 88.67 ± 0.1 | 96.44 ± 0.1 | 98.36 ± 0.1 | 96.34 ± 0.1 |
 | KSC (k = 2) | Botswana (k = 3) | ||||
HybridSN | 94.85 ± 0.1 | 91.9 ± 0.1 | 94.27 ± 0.1 | 96.29 ± 0.2 | 96.5 ± 0.2 | 96.92 ± 0.2 |
AeroRIT | 93.94 ± 0.1 | 91.15 ± 0.2 | 93.23 ± 0.1 | 89.7 ± 0.3 | 89.95 ± 0.3 | 88.77 ± 0.2 |
U-Net | 95.00 ± 0.1 | 92.73 ± 0.1 | 94.93 ± 0.1 | 96.77 ± 0.2 | 96.45 ± 0.2 | 96.94 ± 0.2 |
CEU-Net | 95.25 ± 0.1 | 93.05 ± 0.1 | 94.98 ± 0.1 | 96.43 ± 0.2 | 97.1 ± 0.2 | 96.13 ± 0.2 |
 | PU (k = 2) | Houston (k = 2) | ||||
HybridSN | 95.99 ± 0.1 | 94.59 ± 0.1 | 94.71 ± 0.1 | 98.3 ± 0.1 | 98.2 ± 0.1 | 98.17 ± 0.1 |
AeroRIT | 93.89 ± 0.1 | 91.56 ± 0.2 | 91.9 ± 0.2 | 93.98 ± 0.1 | 93.99 ± 0.2 | 93.49 ± 0.1 |
U-Net | 96.02 ± 0.1 | 94.95 ± 0.1 | 94.86 ± 0.1 | 98.38 ± 0.1 | 98.21 ± 0.1 | 98.25 ± 0.1 |
CEU-Net | 96.18 ± 0.1 | 95.1 ± 0.1 | 95.00 ± 0.1 | 98.49 ± 0.1 | 98.38 ± 0.1 | 98.36 ± 0.1 |