Title :
Non-Linear Prediction Algorithm of Satellite Cloud Images
Author_Institution :
Inst. of Meteorol., PLA Univ. of Sci. & Technol., Nanjing, China
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;
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
DOI :
10.1109/CISP.2009.5303664