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Proceedings Paper

The study of a linear optimal location the typhoon center automatic from IR satellite cloud image
Author(s): Yan Li; Xi Chen; Shu-ming Fei; Ke-Feng Mao; Kai Zhou
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Paper Abstract

The typhoon center location is important for forecast typhoon path and harmful weather. However, the appearance of the typhoon from satellite cloud images was very complex and stochastic. Some location methods were short of robustness and oneness. In order to locate the typhoon center automatically and accurately, we propose a linear optimal location technique based on the feature of typhoon cloud circumgyrate the typhoon center. Grounded on the feature ,we extracted the typhoon swirl feature using eigenvector which is denoted by the tangent of typhoon cloud image's gray gradient. Then, we gain the solution of location optimal target equation using genetic algorithms, but this method has the disadvantages of slow convergence and poor stability ,so an improved genetic algorithm is proposed in terms of creation of the initial population and genetic operators. In the end, comparing general genetic algorithm with improved genetic algorithm in convergence. We applied our approach to locate the center of some different typhoons occurred in 2008, from the results of simulation experiments, we conclude that the method presented cloud identify the typhoon center feature easily and locate the typhoon center accurately. Theory analysis and experiment shows the method is reasonable and efficient.

Paper Details

Date Published: 8 September 2011
PDF: 7 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81932F (8 September 2011); doi: 10.1117/12.900349
Show Author Affiliations
Yan Li, Southeast Univ. (China)
PLA Univ. of Science and Technology (China)
Xi Chen, PLA Univ. of Science and Technology (China)
Shu-ming Fei, Southeast Univ. (China)
Ke-Feng Mao, PLA Univ. of Science and Technology (China)
Kai Zhou, PLA Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

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