Abstract
In order to improve the capability of monitoring and predicting strong convective weather of Zhaoqing area, monitoring and early-warning system of strong convective weather is developed. Graphic and image technology is applied in the development of the system. The region growing method is used in image segmentation. The map of all towns of Zhaoqing area is drawn by coordinate transformation and graphics technologies. The processed radar image and the map of Zhaoqing area have been overlapped. By using improved arc-length method, the system can judge which areas are affected by strong convective echo.
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Funding
The research work of this paper was supported by Science and technology research project of Guangdong Meteorological Bureau (Grant no. 2016B51, Grant no. GRMC2018M52), Science and technology research project of Zhaoqing Meteorological Bureau (Grant no. 201708, Grant no. 201802), Science and technology innovation project of Zhaoqing (Grant no. 201624030904).
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Fei Jiao, Administrator and Technician of multimedia laboratory, received his bachelor at School of Sun Yat-Sen University in 1999, and master of Engineering at School of Guangdong University of Technology, China in 2006. His research is concerned in figure and image processing, multimedia application and data mining.
Tianwen Huang, Senior Engineer of computer science, received her Bachelor of Engineering at School of Nanjing Institute of Meteorology, China in 1996, and Master of Engineering at School of Guangdong University of Technology, China in 2017. Her research is concerned in computer application Technology and weather forecast.
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Jiao, F., Huang, T. Application of Graphic and Image Technology in Strong Convective Weather Monitoring and Early-Warning System. Pattern Recognit. Image Anal. 29, 695–701 (2019). https://doi.org/10.1134/S1054661819040060
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DOI: https://doi.org/10.1134/S1054661819040060