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DUAN Lian,LIU Fan,WU Jun-jie
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Abstract:
Mesoscale convective system (MCS)is often accompanied by hail,thunderstorm,squall line,spout and some other severe convective weathers,it could not only lead a huge destruction to the airframe structure,but also pose a serious threat to the safety of crew and passengers. While,the identification and tracking of the location and development tendency of MCS is the emphasis to the study. According to the previous improved criterion,Matlab image processing techniques are applied to the identification and tracking of MCS. With Matlab software,satellite data are provided by National Satellite Meteorological Center,and then its characteristic parameters are calculated and analysed. The experimental results show that this method could not only realize the MCS identification automatically,but also achieve MCS tracking continuously and effectively. An effective theoretical basis and practical reference are provided to the en route avoidance,the flight rerouting path planning and air route intelligent selection for dangerous weather.
Key words: MCS, satellite cloud image, automatical identification and tracking, TBB, image processing
CLC Number:
V328.3
DUAN Lian,LIU Fan,WU Jun-jie. Antomatical identification and tracking of MCS based on satellite cloud image[J]. .
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URL: https://www.cauc.edu.cn/jweb_cauc/EN/
https://www.cauc.edu.cn/jweb_cauc/EN/Y2014/V32/I2/44