Research Article
A New Feature Selection Method for Hyperspectral Image Classification Based on Simulated Annealing Genetic Algorithm and Choquet Fuzzy Integral
Table 6
Error matrix of SAGA-SVM.
| Class | Reference data | Row total | UA | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| Classified data | | | | | | | | | | 1 | 137 | 0 | 35 | 3 | 51 | 44 | 0 | 270 | 0.5074 | 2 | 0 | 1328 | 42 | 4 | 41 | 0 | 9 | 1424 | 0.9326 | 3 | 1 | 0 | 2024 | 0 | 45 | 107 | 0 | 2177 | 0.9297 | 4 | 4 | 22 | 38 | 222 | 0 | 0 | 13 | 299 | 0.7425 | 5 | 5 | 28 | 0 | 0 | 2235 | 47 | 10 | 2325 | 0.9613 | 6 | 0 | 36 | 53 | 3 | 0 | 2271 | 8 | 2371 | 0.9578 | 7 | 3 | 21 | 0 | 3 | 45 | 0 | 476 | 548 | 0.8686 |
| Column total | 150 | 1435 | 2192 | 235 | 2417 | 2469 | 516 | 9414 | |
| PA | 0.9133 | 0.9254 | 0.9234 | 0.9446 | 0.9247 | 0.9198 | 0.9225 | | 0.9249 |
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