SAR image detection of sea targets based on two-step CFAR detector of KK distribution

In the detection of SAR image of sea targets, the simple statistical distribution models such as Gaussian distribution, normal distribution, Weibull distribution etc. are obviously not suitable for the fitting of the background clutter of missile-borne SAR images. The target of the sea surface in SAR image usually has a heavy tail caused by the sea spike, while the KK distribution can better fit it. A two-stage CFAR detector with KK distribution is designed. The results show that KK distribution can fit the data well and the two-stage CFAR detector based on the KK distribution has good performances.