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参数特征匹配在SAR目标识别中的应用
引用本文:马聪慧,文贡坚,黄小红,刘晓明,刘迪. 参数特征匹配在SAR目标识别中的应用[J]. 舰船电子对抗, 2012, 0(5): 32-37,50
作者姓名:马聪慧  文贡坚  黄小红  刘晓明  刘迪
作者单位:国防科学技术大学,长沙410073
基金项目:国家自然科学资助项目,项目编号:61002025
摘    要:参数特征匹配是基于模型的雷达目标分类识别研究中的重要内容。首先回顾总结了目前典型的参数特征匹配方法,在此基础上,针对合成孔径雷达(SAR)目标识别问题,分析了测试数据参数特征集与目标散射模型参数特征集之间的匹配对应关系,进而采用确定性退火方法进行参数特征匹配,然后依据匹配点对数目信息构造合理的匹配系数,根据匹配系数判定目标所属的类别,最后通过仿真实验验证了算法的有效性。

关 键 词:参数特征  特征匹配  确定性退火算法  合成孔径雷达  目标识别

Application of Parameter Feature Matching to Target Recognition of SAR
MA Cong-hui,WEN Gong-jian,HUANG Xiao-hong,LIU Xiao-ming,LIU Di. Application of Parameter Feature Matching to Target Recognition of SAR[J]. Shipboard Electronic Countermeasure, 2012, 0(5): 32-37,50
Authors:MA Cong-hui  WEN Gong-jian  HUANG Xiao-hong  LIU Xiao-ming  LIU Di
Affiliation:(National University of Defense Technology,Changsha 410073,China)
Abstract:Parametric feature matching plays an important role in the study of radar target classification and recognition based on model.This paper firstly reviews and sums up the current typical methods of parameter feature matching,based on which,aiming at synthetic aperture radar(SAR) target recognition problem,analyzes the matching corresponding relationship between the parametric feature set of detected data and the parameter feature set of target scattering model,then adopts a deterministic annealing method to perform the parameter feature matching,furthermore,constructs reasonable matching coefficient to the number information according to the matched points,determines the target type according to the matching coefficient,finally validates the validity of the algorithm through simulation experiment.
Keywords:parameter feature  feature matching  deterministic annealing algorithm  synthetic aperture radar  target recognition
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