Table 2.
The classification accuracies of RS-2 Flevoland (%).
Method | Water | Forest | Building | Farmland | OA | Kappa |
---|---|---|---|---|---|---|
Lenet-5 (Samples 1) | 96.00 | 89.54 | 89.93 | 90.18 | 90.96 | 0.88 |
FFS-CNN (Samples 1) | 97.90 | 91.91 | 93.99 | 94.98 | 94.40 | 0.92 |
Lenet-5 half (Samples 2) | 93.42 | 80.44 | 84.15 | 92.72 | 87.34 | 0.81 |
FFS-CNN half (Samples 2) | 94.01 | 87.22 | 90.04 | 94.47 | 91.26 | 0.86 |
Method in [39] | 98.65 | 89.07 | 73.40 | 89.42 | 90.01 | N/A |