• DocumentCode
    442541
  • Title

    Gust front detection in weather radar images by entropy matched functional template

  • Author

    Alkhouli, Osama ; DeBrunner, Victor

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA
  • Volume
    1
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    We describe a new gust front detection method using functional template correction (FTC) and entropy. The new method provides better boundaries than does a previously developed method by our group (V. DeBrunner and E. Matusiak, 2003). Our proposed method described in this paper requires only one template for detection, thereby reducing the computational complexity and so yielding an algorithm that is more suitable for real time detection than that previously developed one.
  • Keywords
    computational complexity; entropy; radar imaging; remote sensing by radar; weather forecasting; computational complexity reduction; entropy matched functional template; functional template correction; gust front detection; weather radar images; Computational complexity; Doppler radar; Entropy; Histograms; Meteorological radar; Radar detection; Radar imaging; Reflectivity; Signal processing; Tornadoes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1529833
  • Filename
    1529833