DocumentCode :
1592815
Title :
Maritime Target Recognition Based on Fuzzy Clustering Analytical Method
Author :
Ning, Jiang ; Jie, Feng
Author_Institution :
Dalian Naval Acad., Dalian, China
fYear :
2012
Firstpage :
341
Lastpage :
344
Abstract :
The fuzzy clustering analytical method based on fuzzy equivalent relation has been described in this paper, the principle, model and procedure of this fuzzy clustering analytical method are illustrated in detail. All moving targets at sea have been classified. Based on this fuzzy clustering analytical method, the maritime targets of the specific characteristics are carried out clustering analysis. The result of calculation shows that this method is feasible and effective. Target I can be judged as one aircraft carrier, target X as one oil drilling platform. Analyzing the targets further can be identified as: the targets II ,HI are two destroyers; IV, V are two frigates; VI,VII,IX are three guided missile boats; VI is an auxiliary vessel. The method can be also applied to other fields, such as biology characteristic, character identification and pattern identification etc..
Keywords :
fuzzy set theory; military computing; object recognition; pattern clustering; aircraft carrier; auxiliary vessel; fuzzy clustering analytical method; fuzzy equivalent relation; maritime target recognition; oil drilling platform; three guided missile boats; Aircraft; Analytical models; Boats; Indexes; Presses; Target recognition; Maritime target recognition; Scale; clustering analysis; fuzzy equivalent relation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
Type :
conf
DOI :
10.1109/ISdea.2012.446
Filename :
6173218
Link To Document :
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