Modified Nearest Neighbor Fuzzy Classification Algorithm for Ship Target Recognition

被引：0
|
作者：
Liu, Xiankang [1 ]
Wang, Baofa [1 ]
Xu, Xiaojian [1 ]
Liang, Jing [2 ]
Ren, Jie [2 ]
Wei, Cunwei [2 ]
机构：
[1] Beijing Univ Aeronaut & Astronaut, Sch Elect & Informat Engn, Beijing 100083, Peoples R China
[2] 701 Factory PLAN, Beijing 100015, Peoples R China
来源：
2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2011年
关键词：
high resolution range profile (HRRP); modified nearest neighbor fuzzy classification(MNNFC); central moments;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Modified nearest neighbor fuzzy classification (MNNFC) algorithm is proposed for the character of ship target high resolution range profile (HRRP). Ship length, dispersant, symmetry and central moments features are some stable features for ship HRRP and extracted accurately. Modified nearest neighbor fuzzy classification algorithm is designed for different features to contribute their predominance because the significance and stability of each feature are different. And the membership degree of each feature is modified differently. Experimental results with the actual measured data of 10 ships show that the proposed algorithm is very useful in ship target classification.
引用
收藏
页码：2254 / 2258
页数：5
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