Open AccessSAR image target‐detection method based on two‐stage CFAR detector with G 0 distribution
Author(s) -
Fuqing Cai,
Jie Song,
Hengyan Liu,
Wei Xiong
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0155
Subject(s) - constant false alarm rate , clutter , detector , weibull distribution , distribution (mathematics) , statistical power , gaussian , artificial intelligence , computer science , pattern recognition (psychology) , mathematics , physics , radar , statistics , telecommunications , mathematical analysis , quantum mechanics
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.