• DocumentCode
    2143835
  • Title

    Non-Linear Prediction Algorithm of Satellite Cloud Images

  • Author

    Jiang Zhuhui

  • Author_Institution
    Inst. of Meteorol., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to solve the problem of low prediction accuracy of conventional prediction algorithm of satellite cloud images. The spectrum-space reconstruction and phase-space prediction algorithm are proposed, the algorithm takes full account of that the cloud moves, grows and dissipates in the non-linear and nonstationary process, the mathematical principles of the algorithm and the process of numerical realization is given. Numerical experiment results show that the prediction algorithm for satellite cloud images is feasible when the forecast time length is less than two hours, the forecast result is reliable and stable, as the forecast time length increasing, the forecast error rapidly increase, when more than two hours, forecast result is unstable.
  • Keywords
    clouds; geophysical signal processing; image reconstruction; forecast error; forecast time length; nonlinear prediction; phase-space prediction; satellite cloud images; spectrum-space reconstruction; Clouds; Image reconstruction; Matrix decomposition; Monitoring; Prediction algorithms; Rain; Satellites; Singular value decomposition; Vectors; Weather forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5303664
  • Filename
    5303664