一种基于峰值匹配的SAR目标识别方法

A SAR target recognition method based on peak matching

文章提出了一种基于峰值匹配的SAR目标识别方法。采用最近邻匹配算法构建测试样本峰值特征集与模板样本峰值特征集之间的对应关系。在此匹配关系的基础上,设计了稳健的匹配度准则评价两组峰值特征集的匹配度,并根据最大匹配度的准则判定目标类别。在MSTAR数据集进行目标识别实验验证提出方法的有效性。

This paper proposes a SAR target recognition method based on peak matching. The peak sets of the test sample and its corresponding templates are matched by the nearest matching scheme. On the basis of the matching relationship, a robust matching degree is designed to evaluate the similarities between the test peak set and various peak sets from different classes. The target type is determined according to the criterion of maximum matching degree. To validate the effeteness of the proposed method, experiments are conducted on public MSTAR dataset.