Table 3 The objective indicators on KSC dataset (using 3% training, 3% verification, 94% testing).
Class | Training | Test | ContextNet | SSRN | FDSSC | DBDA | PyResNet | DBMA | A2S2KResNet | Ours |
|---|---|---|---|---|---|---|---|---|---|---|
1 | 22 | 709 | 98.25 \(\pm\) 0.00 | 99.58 \(\pm\) 0.01 | 99.86 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 87.82 \(\pm\) 0.10 | 99.95 \(\pm\) 0.00 | 99.63 \(\pm\) 0.00 | 99.86 \(\pm\) 0.00 |
2 | 7 | 232 | 79.70 \(\pm\) 0.12 | 83.42 \(\pm\) 0.12 | 96.40 \(\pm\) 0.05 | 97.71 \(\pm\) 0.03 | 69.57 \(\pm\) 0.21 | 96.74 \(\pm\) 0.05 | 98.22 \(\pm\) 0.02 | 97.10 \(\pm\) 0.04 |
3 | 7 | 242 | 63.18 \(\pm\) 0.05 | 85.60 \(\pm\) 0.11 | 93.23 \(\pm\) 0.05 | 99.58 \(\pm\) 0.01 | 76.57 \(\pm\) 0.18 | 90.89 \(\pm\) 0.03 | 87.61 \(\pm\) 0.08 | 92.41 \(\pm\) 0.07 |
4 | 7 | 237 | 64.27 \(\pm\) 0.00 | 71.03 \(\pm\) 0.13 | 95.10 \(\pm\) 0.06 | 94.52 \(\pm\) 0.07 | 74.70 \(\pm\) 0.19 | 85.43 \(\pm\) 0.09 | 97.24 \(\pm\) 0.03 | 98.99 \(\pm\) 0.01 |
5 | 4 | 156 | 60.91 \(\pm\) 0.07 | 78.38 \(\pm\) 0.21 | 88.38 \(\pm\) 0.09 | 84.38 \(\pm\) 0.11 | 45.84 \(\pm\) 0.32 | 95.58 \(\pm\) 0.04 | 83.79 \(\pm\) 0.12 | 94.76 \(\pm\) 0.04 |
6 | 6 | 212 | 73.22 \(\pm\) 0.19 | 88.09 \(\pm\) 0.06 | 94.82 \(\pm\) 0.07 | 96.47 \(\pm\) 0.03 | 64.04 \(\pm\) 0.17 | 98.94 \(\pm\) 0.01 | 92.12 \(\pm\) 0.06 | 99.69 \(\pm\) 0.00 |
7 | 3 | 99 | 60.11 \(\pm\) 0.10 | 50.57 \(\pm\) 0.41 | 88.96 \(\pm\) 0.16 | 97.46 \(\pm\) 0.04 | 57.17 \(\pm\) 0.33 | 93.72 \(\pm\) 0.09 | 91.93 \(\pm\) 0.06 | 100.0 \(\pm\) 0.00 |
8 | 12 | 410 | 95.68 \(\pm\) 0.05 | 99.83 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 98.34 \(\pm\) 0.02 | 95.14 \(\pm\) 0.02 | 99.59 \(\pm\) 0.01 | 99.52 \(\pm\) 0.00 | 99.67 \(\pm\) 0.00 |
9 | 15 | 491 | 93.77 \(\pm\) 0.07 | 97.19 \(\pm\) 0.02 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 85.87 \(\pm\) 0.06 | 99.93 \(\pm\) 0.00 | 99.46 \(\pm\) 0.01 | 99.86 \(\pm\) 0.00 |
10 | 12 | 385 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 99.91 \(\pm\) 0.00 | 99.74 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 |
11 | 12 | 399 | 94.07 \(\pm\) 0.08 | 97.98 \(\pm\) 0.03 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 |
12 | 15 | 470 | 98.57 \(\pm\) 0.02 | 95.31 \(\pm\) 0.01 | 98.28 \(\pm\) 0.01 | 95.42 \(\pm\) 0.01 | 96.67 \(\pm\) 0.01 | 94.65 \(\pm\) 0.02 | 96.29 \(\pm\) 0.03 | 97.34 \(\pm\) 0.01 |
13 | 27 | 871 | 99.96 \(\pm\) 0.00 | 99.96 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 94.03 \(\pm\) 0.07 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 | 100.0 \(\pm\) 0.00 |
OA (%) | 149 | 4913 | 90.08 \(\pm\) 0.02 | 93.91 \(\pm\) 0.01 | 97.97 \(\pm\) 0.00 | 98.13 \(\pm\) 0.00 | 85.83 \(\pm\) 0.03 | 97.60 \(\pm\) 0.00 | 97.30 \(\pm\) 0.00 | 98.86 \(\pm\) 0.00 |
AA (%) | Â | Â | 83.21 \(\pm\) 0.01 | 88.22 \(\pm\) 0.04 | 96.54 \(\pm\) 0.01 | 97.21 \(\pm\) 0.00 | 80.55 \(\pm\) 0.04 | 96.57 \(\pm\) 0.01 | 95.83 \(\pm\) 0.00 | 98.44 \(\pm\) 0.00 |
Kappa | Â | Â | 0.8896 \(\pm\) 0.02 | 0.9322 \(\pm\) 0.01 | 0.9774 \(\pm\) 0.00 | 0.9792 \(\pm\) 0.00 | 0.8419 \(\pm\) 0.03 | 0.9733 \(\pm\) 0.00 | 0.9699 \(\pm\) 0.00 | 0.9873 \(\pm\) 0.00 |
Training time | Â | Â | 129.90 | 282.96 | 774.31 | 451.19 | 251.09 | 433.50 | 305.02 | 117.55 |
Test time | Â | Â | 34.03 | 24.18 | 28.87 | 40.90 | 101.62 | 49.63 | 18.50 | 15.80 |
