An Early Warning Method for Sea Typhoon Detection Based on Remote Sensing Imagery

Xiao, H. and Wei, M., 2018. An early warning method for sea typhoon detection based on remote sensing imagery. In: Ashraf, M.A., and Chowdhury, A.J.K. (eds.), Coastal Ecosystem Responses to Human and Climatic Changes throughout Asia. At present, a GIS-based early warning method for sea typhoons cannot judge the specific route of a typhoon. In this paper, a warning method for sea typhoons based on remote sensing imagery is proposed. First, the characteristics of influence on typhoon and grid operation, the typhoon forecast, micro-meteorological monitoring device information, and the safety of an early warning route model are established to determine the general path of a sea typhoon. Then, with the ID3 algorithm, the typhoon information is extracted and classified. Through the averaging method, selection criteria of typhoon attributes in a decision tree are optimized, and typhoon information is established to complete the research of a sea typhoon warning method. Experiments show that the proposed method is highly accurate for typhoon early warning, and the warning information for typhoons is comprehensive and has high application value.