• DocumentCode
    3185888
  • Title

    Incoherent radar target recognition using semi-fuzzy clustering

  • Author

    Min, Lianp ; Ju-chang, Liu ; Ming, Ji

  • Author_Institution
    Dept. of Electr. Eng., Changsha Inst. Technol., China
  • fYear
    1992
  • fDate
    18-22 May 1992
  • Firstpage
    265
  • Abstract
    The problem of incoherent radar target recognition is discussed. A feature extraction algorithm is presented based on an AR model and optimal discriminant subspace, and a classification algorithm for the extracted features is proposed using semi-fuzzy clustering. An experimental automatic incoherent radar ship target recognition system is implemented with the proposed algorithms, and results are illustrated
  • Keywords
    feature extraction; fuzzy set theory; radar applications; ships; classification algorithm; feature extraction algorithm; incoherent radar target recognition; optimal discriminant subspace; semi-fuzzy clustering; ship target recognition; Automatic testing; Clustering algorithms; Data mining; Equations; Feature extraction; Hip; Radar; Sampling methods; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
  • Conference_Location
    Dayton, OH
  • Print_ISBN
    0-7803-0652-X
  • Type

    conf

  • DOI
    10.1109/NAECON.1992.220610
  • Filename
    220610
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3185888