%0 Journal Article
%T A new CFAR ship detection algorithm based on independent joint K-distribution<br>一种基于独立联合K-分布CFAR的舰船检测算法
%A AI Jia-Qiu
%A QI Xiang-Yang
%A LIU Fan
%A SHI Li
%A <br>艾加秋
%A 齐向阳
%A 刘凡
%A 石力
%J 中国科学院研究生院学报
%D 2010
%I 
%X 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.
%K SAR
%K ship detect
%K CFAR
%K 2D independent joint K-distribution<br>合成孔径雷达
%K 舰船检测
%K 恒虚警
%K 独立联合K-分布
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=B47B31F6349F979B&jid=67CDFDECD959936E166E0F72DE972847&aid=D7FC3837FE41235571404A1ED5D63F00&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=94C357A881DFC066&sid=7004BE6E41AAF52C&eid=46682C11199DA00C&journal_id=1002-1175&journal_name=中国科学院研究生院学报&referenced_num=0&reference_num=9