Research Article
A Research on the Combination Strategies of Multiple Features for Hyperspectral Remote Sensing Image Classification
Table 7
Classification results by different features for SL dataset, including OA, kappa index, and execution time.
| SL | SPEC | GF | TF | GF + TF | TF + GF + SPEC |
| Direct combine | OA (%) | 89.68 | 89.89 | 97.47 | 98.95 | 98.5 | Kappa | 0.885 | 0.887 | 0.972 | 0.988 | 0.983 | Time (s) | 10.9 | 3.88 | 5.98 | 6.63 | 9.7 | LE framework | OA (%) | 83.28 | 89.86 | 95.57 | 98.18 | 95.69 | Kappa | 0.813 | 0.887 | 0.951 | 0.980 | 0.952 | Best | 35 | 20 | 35 | 35 | 45 | Time (s) | 11.21 | 5.42 | 7.82 | 7.29 | 9.743 | Multiple kernel | OA (%) | 89.68 | 90.01 | 96.83 | 97.74 | 97.34 | Kappa | 0.885 | 0.899 | 0.964 | 0.974 | 0.970 | Time (s) | 10.9 | 3.88 | 5.98 | 6.63 | 15.7 |
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