基于峰值匹配的SAR图像飞机目标识别方法

Recognition method of aircraft target in SAR image based on peak-value matching

针对SAR图像飞机目标识别过程中的目标识别问题,提出一种基于峰值匹配的目标识别方法。该方法首先使用基于8邻域像素检测局部极大值的峰值提取方法提取目标和模板的峰值特征点;然后对目标进行方位角计算,设定置信区间从而缩小需要匹配的模板库;最后计算目标图像峰值点集与模板图像峰值点集的匹配代价函数,当匹配代价函数取最小值时表明目标与相应模板图像相匹配。实验结果表明该算法有效,且分类性能和分类效率较现有的一些算法有所提升。

A target recognition method based on peak？value matching is proposed for the recognition problems in recogni？tion process of aircraft target in synthetic aperture radar （SAR） image. This method adopts the peak？value extraction method based on local maximum value detected by 8？neighbourhood pixel to extract the peak？value feature points of the target and tem？plate. The azimuth angle of the target is calculated,and the confidence interval is set to shrink the template library which is needed to match. The marched cost functions of the peak point sets in target image and template image are calculated. The target is marched with the template image when the minimum value is get from the marched cost function. The experimental results show that the proposed method is effective. The classification performance and classification effectiveness were improved by this method in comparison with the existing algorithms.