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

Abstract

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.

Keywords

• missiles
• object detection
• radar clutter
• synthetic aperture radar
• Gaussian distribution
• target tracking
• Weibull distribution
• radar detection
• radar imaging
• spaceborne radar
• statistical distributions
• SAR image detection
• sea targets
• two-step CFAR detector
• KK distribution
• simple statistical distribution models
• Gaussian distribution
• normal distribution
• Weibull distribution
• missile-borne SAR images
• sea surface
• sea spike
• two-stage CFAR detector