Title :
Application of genetic algorithm in tracking convective cloud images from Chinese FY-2C satellite
Author :
Pei, Xiaofang ; Li, Nan ; Zhan, Yating
Author_Institution :
College of Electronic & Information Engineering, Nanjing University of Information Science & Technology, 210044, China
Abstract :
It is significance to identify and track convective clouds using satellite data in nowcasting and severe weather warning. This article uses genetic algorithm to match and track convection clouds identified from infrared channel images of FY - 2C satellite. The preliminary results suggest that the genetic algorithm need set up enough group size & genetic algebra, and can select appropriate proportion of genetic operations. The results also show the feasibility & characteristics of genetic algorithm in cloud tracking and provide reference of genetic algorithm application in other related research areas.
Keywords :
Algebra; Clouds; Genetics; Meteorology; Radar tracking; Satellite broadcasting; Satellites; FY-2C satellite; convective clouds; genetic algorithm;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5689047