• DocumentCode
    2371562
  • Title

    Algorithms for object recognition by weather radar

  • Author

    Yanovsky, Felix ; Ostrovsky, Yaroslav ; Marchuk, Vitaly

  • Author_Institution
    Nat. Aviation Univ., Kiev
  • fYear
    2008
  • fDate
    21-23 May 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper briefly describes new methodology of precipitation classification and turbulence detection. Proposed method is based on neural network and does not require traditional calculations. Neural network is very flexible in its nature and can be adapted very easily to new requirements. This allows reduction of calculation time and can be successfully used in warning system of airborne systems etc.
  • Keywords
    airborne radar; image classification; meteorological radar; neural nets; object recognition; radar computing; airborne systems; calculation time reduction; neural network; object recognition; precipitation classification; turbulence detection; warning system; weather radar; Data mining; Doppler radar; Meteorological radar; Neural networks; Object recognition; Radar applications; Radar detection; Radar measurements; Radar polarimetry; Rain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Symposium, 2008 International
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-83-7207-757-8
  • Type

    conf

  • DOI
    10.1109/IRS.2008.4585761
  • Filename
    4585761