摘要
针对基于高分辨距离像(HRRP)的舰船目标识别问题,提出了一种基于Relax散射点特征提取和设计了基于散射中心最近邻模糊分类器的目标识别方法。首先对数据进行预处理,然后基于Relax算法提取出散射中心,最后通过最近邻模糊分类器进行识别匹配。通过仿真4类军民船目标的数据进行测试,验证结果表明该方法在舰船目标识别领域具有很好的应用前景。
A method based on Relax algorithm and nearest neighbor fuzzy classification algorithm is proposed for ship target recognition.Firstly,data is preprocessed.Then,scattering centers are extracted from high resolution range profile by Relax algorithm.Finally,the targets are recognized by nearest neighbor fuzzy classification.The result of experiment with the simulation data of 4 ship targets indicates that the proposed method is efficient and very useful in ship target classification.
出处
《电子科技》
2011年第4期8-11,共4页
Electronic Science and Technology
