• DocumentCode
    2558060
  • Title

    Automatic target recognition of SAR images based on the fuzzy neural networks

  • Author

    Ping, Han ; Shan, Gao

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    102
  • Lastpage
    104
  • Abstract
    ATR (automatic target recognition), based on SAR (synthetic aperture radar) image, is crucial to the success of battlefield awareness and has become a very hot research topic. But many problems, which are caused by a great deal of missing, polluting, and superimposing of the signals, still generally exist in practical application, such as the low recognizing rate. How to recognize the useful signals from badly polluted images has become a difficult point in remote sensing image process. Thus, this paper will provide a way to recognize radar signal automatically by using the fuzzy neural networks.
  • Keywords
    fuzzy neural nets; fuzzy set theory; image recognition; radar imaging; radar tracking; remote sensing by radar; synthetic aperture radar; target tracking; SAR image; automatic target recognition; battlefield awareness; fuzzy neural network; image recognition; polluted image; radar signal recognition; remote sensing image; synthetic aperture radar image; Earth; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Information science; Military computing; Neurons; Pollution; Synthetic aperture radar; Target recognition; Automatic target recognition; Fuzzy neural networks; Synthetic Aperture Rada;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5478256
  • Filename
    5478256