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
Link To Document