Target Feature Fusion Identification based on D-S Evidence Theory

被引:0
|
作者
Lu, Jianrong [1 ]
机构
[1] Nanjing Artillery Acad, Dept 12, Reconnaissance Inst, Nanjing, Jiangsu, Peoples R China
关键词
Evidence theory; Radar cross section; Polarization scattering matrix;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
DS evidence theory is an important feature fusion target recognition fusion method, both to deal with the uncertainty caused by random, capable of handling the ambiguity caused by uncertainty. Based on the heavy-duty trucks, light trucks and cars three goals RCS (radar cross section) and the target polarization (polarization scattering matrix) feature extraction, respectively, associated with the use of gray, fuzzy mathematics method and template matching method on the target the feature vector extraction, use of Matlab sampling data were drawn three targets of the RCS and target polarization time series, simulation and data analysis methods in target recognition of different strengths and weaknesses.
引用
收藏
页码:476 / 481
页数:6
相关论文
共 4 条
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  • [2] Jiang wanlu, 2003, MACHINE TOOLS HYDRAU, V8, P16
  • [3] Liu T, 1998, DATA FUSION TECHNOLO
  • [4] Xu Congfu, 1999, PATTERN RECOGN, V12, P424