NDLI: Non-Clear Typhoon Eye Tracking by Artificial Ant Colony

Content Provider	IEEE Xplore Digital Library
Author	Zhang, Q.P. Lai, H. Wei, H. Zong, X.F.
Copyright Year	2006
Description	Author affiliation: City Univ., London (Zhang, Q.P.; Lai, H.)
Abstract	Generally, large volumes of complicate and precise computation are required during the tracking process of typhoon eye, especially non-clear ones, which is one of the most important aspects in the forecast and analysis of typhoon. Satellite digital photograph and corresponding interpretation technology make it possible to carry out such task by aid of modern digital and computer means of image processing. By means of constructing solution space and heuristic information, artificial ant colony (AAC) can be used to search for the best path in a constrained region, which provides an approach to obtain precise contour, and is proved to reach the best feasible boundary with minimum energy function value. Therefore, the contour of non-clear typhoon eye can be tracked intelligently, based on the satellite photograph. As an example, the computing methodology produced in this paper was applied in experimental cyclone forecasting by the Shanghai Meteorology Center. The proposed solutions was confirmed to have the potential for successful application to the problem of non-clear typhoon eye tracking, and the system is effective and the performance errors are acceptable for practical applications
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	4063
Ending Page	4068
File Size	564648
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258862
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Typhoons Radar tracking Tropical cyclones Satellites Weather forecasting Spirals Remote sensing Target tracking Clouds Space technology artificial ant colony Typhoon eye contour tracking
Content Type	Text
Resource Type	Article

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