基于Relax散射点特征提取的舰船目标识别方法  

Ship target recognition based on Relax algorithm

作　　者：王锦章[1] 魏存伟[2] 刘先康[2] 梁菁[2] 任杰[2] 孙菲[2] 

机构地区：[1]海装天津局海军驻北京地区电子设备军事代表室,北京100015 [2]中国人民解放军海军701工厂研发部,北京100015

出　　处：《电子科技》2011年第4期8-11,共4页Electronic Science and Technology

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.

关 键 词：高分辨距离像 RELAX算法 最近邻模糊分类器 

分 类 号：TN957.51[电子电信—信号与信息处理]