Research Article
Optimizing Kernel PCA Using Sparse Representation-Based Classifier for MSTAR SAR Image Target Recognition
Table 3
Recognition rates of KOPCA with polynomial kernel using different classifier.
| Polynomial kernel () | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| KOPCA: KNN | 85.11 | 85.33 | 87.78 | 83.56 | 83.33 | 84.22 | 82.89 | 80.89 | 82.00 | 81.33 | KOPCA: SVC | 74.00 | 91.33 | 88.44 | 88.44 | 88.00 | 86.22 | 86.00 | 85.56 | 83.33 | 82.67 | KOPCA: LRC | 88.67 | 92.44 | 93.78 | 94.22 | 94.44 | 93.56 | 93.56 | 92.89 | 92.22 | 91.56 | KOPCA: SRC | 98.44 | 98.44 | 98.22 | 98.22 | 98.00 | 97.56 | 98.22 | 98.00 | 97.56 | 97.78 |
|
|