Abstract
It is significance to identify and track convective clouds using satellite images in nowcasting and severe weather warning. This article applies ant colony algorithm to match and track convection clouds identified from infrared channel images of FY - 2C satellite. The preliminary results suggest that ant colony algorithm is simple and effective to gain satisfactory results with adjustable features. The results also show the feasibility and characteristics of ant colony algorithm in cloud tracking and provide reference of ant colony algorithm application in other related research areas.
This work is partially supported by College Graduate Student Research and Innovation Program of Jiangsu province (CX09B_227Z).
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Pei, X., Li, N., Li, M., Li, L. (2011). Application of Ant Colony Algorithm in Tracking Convective Cloud Images from Chinese FY-2C Satellite. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23235-0_4
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DOI: https://doi.org/10.1007/978-3-642-23235-0_4
Publisher Name: Springer, Berlin, Heidelberg
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