基于利用雷达目标回波轮廓像进行目标分类在雷达航管、监视领域具有一定的应用价值，分析了对雷达波束扫描目标过程中的电磁散射进行了分析，研究了目标回波序列轮廓像的形成原理。通过对目标回波序列轮廓像进行特征提取、变换获取了能够体现目标特性的稳态特征，利用C—均值聚类方法实现了对海面目标的粗分类，采用实测数据对所提出方法进行测试，实验结果证明了该方法的有效性。

Target classification based on radar r et urn sequences image profile has application in many fields, such as radar air tr affic control and surveillance, etc. In this paper, firstly, the electromagnetic scattering during radar beam scanning target is analyzed, and the theory of for ming image profile is studied. Then, the stable features that can embody target characteristics are extracted. Finally, the classification of naval targets is a chieved by using the clustering method of C-Means, and the validity of the meth od is demonstrated through the testing of the real data.

TN958