• 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