Research Article
Optimizing Kernel PCA Using Sparse Representation-Based Classifier for MSTAR SAR Image Target Recognition
Table 4
āRecognition rates of KOPCA with Gaussian kernel using different classifier.
| Gaussian kernel () | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 110 |
| KOPCA: KNN | 85.33 | 86.67 | 86.67 | 86.44 | 84.44 | 85.11 | 85.56 | 85.33 | 50.00 | 43.11 | KOPCA: SVC | 89.33 | 89.78 | 89.78 | 89.78 | 89.78 | 89.33 | 89.78 | 58.44 | 33.33 | 33.33 | KOPCA: LRC | 96.89 | 96.89 | 96.68 | 96.68 | 96.89 | 55.78 | 55.78 | 55.78 | 55.33 | 35.78 | KOPCA: SRC | 94.89 | 94.89 | 94.89 | 94.89 | 95.33 | 95.33 | 95.56 | 95.33 | 68.00 | 55.78 |
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