Abstract
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 2.28 s.
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