Research Article
A SAR Image Target Recognition Approach via Novel SSF-Net Models
Table 3
Recognition accuracy rates of different depth SSF-Nets (%).
| Method | SAR-SOC | SAR-EOC-1 | Tanh | ReLU | Tanh | ReLU |
| SSF-Net12-3FC | 98.49 | 99.19 | 95.32 | 97.55 | SSF-Net12-1FC | 97.47 | 99.09 | 97.02 | 96.58 | SSF-Net12-GAP | 99.33 | 98.99 | 97.17 | 97.02 | SSF-Net14-3FC | 99.27 | 99.34 | 99.50 | 98.59 | SSF-Net14-1FC | 99.37 | 99.20 | 99.24 | 97.96 | SSF-Net14-GAP | 99.18 | 99.43 | 99.05 | 97.55 | SSF-Net17-3FC | 99.39 | 99.37 | 99.36 | 98.92 | SSF-Net17-1FC | 99.31 | 99.35 | 98.81 | 98.02 | SSF-Net17-GAP | 99.55 | 99.45 | 98.78 | 95.67 | SSF-Net20-3FC | 99.43 | 99.35 | 98.47 | 99.16 | SSF-Net20-1FC | 99.54 | 99.34 | 98.69 | 98.63 | SSF-Net20-GAP | 99.42 | 99.30 | 99.33 | 98.11 |
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