A new CFAR ship detection algorithm based on independent joint K-distribution
一种基于独立联合K-分布CFAR的舰船检测算法

In this paper, differences in the characteristic between target and clutter in medium and high resolution SAR images are analyzed. By considering the differences in gray intensity correlation and shape between the ship target and the clutter, a new ship CFAR detection algorithm is proposed based on 2D independent joint K-distribution. The joint gray intensity distribution using 2D independent joint K-distribution in the clutter is modeled in the algorithm, and the detecting threshold is calculated at a given probability of false alarm to detect the SAR images. With this algorithm, the false alarms caused by speckle and local background non-homogeneity can be greatly reduced, the detection performance is much improved.