Research Article
A New Scene Classification Method Based on Local Gabor Features
Table 1
Classification performance of different Gabor features and kernel functions on OT dataset.
| Nonlinear kernel | Gabor filter bank | 4 orientations | 8 orientations | 12 orientations |
| RBF | | | | 1 scale | 76.82% | 77.90% | 77.65% | 3 scales | 78.56% | 81.55% | 83.06% | 5 scales | 81.94% | 84.22% | 82.58% | POLY | | | | 1 scale | 73.95% | 77.64% | 76.78% | 3 scales | 79.32% | 84.36% | 82.82% | 5 scales | 81.16% | 83.95% | 82.78% | PMK | | | | 1 scale | 80.62% | 83.46% | 83.35% | 3 scales | 83.98% | 84.70% | 86.06% | 5 scales | 85.84% | 87.25% | 85.42% |
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