Research Article
A Gaussian Process Classification and Target Recognition Algorithm for SAR Images
Table 2
Classification results of different methods.
| | Algorithm | 20 | 40 | 80 | 110 | 165 | 220 |
| | LNP | — | — | — | 94.11 | 95.97 | 96.05 | | Triple-GAN | — | — | — | 95.97 | 96.13 | 96.11 | | Improved-GAN | — | — | — | 95.02 | 97.26 | 98.07 | | SVM | 76.43 | 87.95 | 92.48 | — | — | — | | Adaboost | 75.68 | 86.45 | 91.95 | — | — | — | | GAN | 84.39 | 90.13 | 94.29 | — | — | — | | MGAN | 85.23 | 90.82 | 94.91 | — | — | — | | Classification algorithm of indirect Gaussian process | 95.20 | 98.8 | 99.88 | — | — | — |
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