Research Article

A SAR Image Target Recognition Approach via Novel SSF-Net Models

Table 3

Recognition accuracy rates of different depth SSF-Nets (%).

MethodSAR-SOCSAR-EOC-1
TanhReLUTanhReLU

SSF-Net12-3FC98.4999.1995.3297.55
SSF-Net12-1FC97.4799.0997.0296.58
SSF-Net12-GAP99.3398.9997.1797.02
SSF-Net14-3FC99.2799.3499.5098.59
SSF-Net14-1FC99.3799.2099.2497.96
SSF-Net14-GAP99.1899.4399.0597.55
SSF-Net17-3FC99.3999.3799.3698.92
SSF-Net17-1FC99.3199.3598.8198.02
SSF-Net17-GAP99.5599.4598.7895.67
SSF-Net20-3FC99.4399.3598.4799.16
SSF-Net20-1FC99.5499.3498.6998.63
SSF-Net20-GAP99.4299.3099.3398.11