SAR image target-detection method based on two-stage CFAR detector with G^0 distribution

CFAR detection algorithm is widely used in the typical target detection of SAR images. In SAR image target detection, 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 distribution of missile-borne SAR images, and the G^0 distribution is suitable for extremely unstable regions and its expression is relatively simple. A two-stage CFAR detector with G^0 distribution is designed and the distribution of ground SAR images is statistically analysed by using the CA-CFAR detector. A target in a relatively non-homogenous background usually has a long tail, and the detection results of the two-stage CFAR detector based on the G^0 distribution are much better.

Abstract licence: CC BY-ND

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