针对SAR图像舰船目标检测过程中存在方位向模糊造成虚警的问题，该文设计了一种基于改进的H/a/Wishart非监督分类的多极化SAR图像舰船与方位向模糊鉴别方法。该方法首先提取目标散射回波峰值区域，以该区域的H/a分类结果为初始聚类中心，利用复Wishart分布的最大似然分类器改善分类结果，通过对比分析各散射类型区域的结构鉴别舰船目标和方位向模糊。通过实验表明该方法能有效地鉴别舰船目标与方位向模糊，减少SAR舰船目标检测过程中存在的虚警。%Aiming to remove the false alarm caused by azimuth ambiguity in SAR imagery during the process of ship target detection, a method based on the improved H /a/Wishart unsupervised classification is proposed. First, the scattering echo peak zone of target is extracted and the H/a classification results are treated as the initial cluster centers. Second, the ship target and azimuth ambiguity are identified by comparing and analyzing the structure of each region. It is showed by experiment that the method can detect ships based on the azimuth ambiguity;thus the false alarm rate in SAR-based ship detection is reduced.
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