Target Classification by Constructing Fuzzy Automata System

被引：3
|
作者：
Gao, Ziyu [1 ]
Wu, QingE [2 ]
Chen, Hu [2 ]
Qian, Xiaoliang [2 ]
Wang, Yonghua [2 ]
Zhang, Huanlong [2 ]
机构：
[1] Changan Univ, Natl Engn Lab Highway Maintenance Equipment, Xian 710064, Shaanxi, Peoples R China
[2] Zhengzhou Univ Light Ind, Sch Elect & Informat Engn, Zhengzhou 450002, Henan, Peoples R China
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2018年 / 20卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Fuzzy automata (FA); Target classification; Preprocessing; Feature extraction; Target matching;
D O I：
10.1007/s40815-018-0494-3
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper will present a target classification system based on fuzzy automata to carry out better target classification, which deal with images first and then classify the objects. The system includes image preprocessing, feature extraction, target matching and classification. Compared with other existing methods, this paper utilizes the characteristics of aurora images and uses fuzzy automata to implement target classification. The simulation results show that the classification effect of the proposed method based on fuzzy automata is better than that of other classification methods. The correct classification rate is 94.66%, and its classification speed is 2.28s.
引用
收藏
页码：2620 / 2631
页数：12
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