• DocumentCode
    1587031
  • Title

    Process weather image by some CNN

  • Author

    Guodong, Li ; Wenxia, Xu

  • Author_Institution
    School of Mathematics and Physics, North China Electric Power University Beijing 102206, China
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, a kind of wipe noise according CNN has been put forward. And the different CNN has been used to process weather image. The first stage is that we provide a method to wipe off the noise from image by a kind of CNN (Cell Nerve Network) template, Half-Toning Cell Nerve Network (HTCNN). It can wipe off the Gaussian noise and Speckle noise. It´s in reason from the simulation. Then we try to process the weather image by HTCNN. Change some parameter to process the weather image. The cloud seems clearer from the processed image. The second stage is that we take a new way to process image to embossment by CNN. We use a the Optimal Edge Detector Cellular Neural Network (OPCNN) to process weather image. Some embossment had appear on the image when it processed by OPCNN. It will be easy to analysis the weather image from the embossment of the picture.
  • Keywords
    Half-Toning CNN; Radar image; Weather image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2012
  • Conference_Location
    Puerto Vallarta, Mexico
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4673-4497-5
  • Type

    conf

  • Filename
    6321550