Application of Ant Colony Algorithm in Tracking Convective Cloud Images from Chinese FY-2C Satellite文档.pdf

Application of Ant Colony Algorithm in Tracking Convective Cloud Images from Chinese FY-2C Satellite* 1,** 2 3 4 Xiaofang Pei , Nan Li , Miaoying Li , and Luan Li 1 College of Electronic Information Engineering 2 School of Atmospheric Physics 1,2 Nanjing University of Information Science Technology, Nanjing 210044, China 3 Institute of Meteorology, PLA University of Science Technology, Nanjing 211101, China 4 Wuhu Weather Bureau of Anhui Province, Wuhu 241000, China XiaofangPei@yeah.net 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. Keywords: ant colony algorithm, convective clouds, FY-2C satellite. 1 Introduction Since satellite developing, it has provided supplement data for routine meteorological observations. Satellite images have become an important source of information especially for the ocean, desert and other data-sparse areas. In short-term mesoscale weather, satellite data show an irreplaceable advantage. GMS with high time resolution, is various weather simultan