Open AccessSAR image detection of sea targets based on two‐step CFAR detector of KK distribution
Author(s) -
Jie Song,
Fuqing Cai,
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.2019.0360
Subject(s) - clutter , weibull distribution , constant false alarm rate , detector , gaussian , distribution (mathematics) , computer science , artificial intelligence , remote sensing , pattern recognition (psychology) , geology , radar , mathematics , physics , statistics , telecommunications , mathematical analysis , quantum mechanics
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.