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