• DocumentCode
    2148385
  • Title

    Weather Radar Image Filtering with Fuzzy Features Using Non Linear Technique

  • Author

    Mao, Ziyang ; Huang, Xiaoyu ; Cheng, Lizhi ; Hu, Wendong

  • Volume
    2
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    201
  • Lastpage
    205
  • Abstract
    A fuzzy feature of weather radar echo was introduced as the measurement of horizontal texture of echo image, and the local mean of the second lowest level was taken as the measurement of vertical echo scale. An algorithm of weather radar base reflectivity noise filtering was proposed based on Support Vector Machine (SVM). The results show that the echoes of non-precipitation such as ground clutter (GC), clear sky, abnormal propagation (AP) can be removed effectively, especially for the mixing echoes of precipitation and non-precipitation coexisted together, the algorithm works pretty well to identify the two kinds of echoes that mean different weathers.
  • Keywords
    Educational institutions; Filtering algorithms; Laboratories; Meteorological radar; Meteorology; Nonlinear filters; Pollution measurement; Reflectivity; Signal processing algorithms; Support vector machines; feature; filtering; fuzzy; image; radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2008. CISP '08. Congress on
  • Conference_Location
    Sanya, China
  • Print_ISBN
    978-0-7695-3119-9
  • Type

    conf

  • DOI
    10.1109/CISP.2008.460
  • Filename
    4566297