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《Ship Science and Technology》 2010-02
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Design of modified nearest neighbor fuzzy classifier based on Fisher discriminant weighting

LIU Xian-kang, LIANG Jing, REN Jie, JIANG Guang-qing(No.701 Factory of PLA(N),Beijing 100016,China)  
Modified nearest neighbor fuzzy classification algorithm based on Fisher discriminantweighting is proposed for ship target recognition using multi-features of high resolution range profile(HRRP). Firstly, ship length, dispersant, symmetry and central moments features are extracted. Then,modified nearest neighbor fuzzy classification algorithm is designed for different feature to contribute theirpredominance because the stability and separability of each feature are different. The membership degree ofeach feature is modified by Fisher discriminant weighting differently. The result of experiment with theactual measured data of 10 ship targets indicates that the proposed classifier is very useful in ship targetclassification.
【CateGory Index】: TN957.51
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Chinese Journal Full-text Database 5 Hits
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