摘要
在下击暴流存在的显著速度场辐散特征的基础上,对旧的利用图像处理技术进行下击暴流识别的算法进行改进,设计一种更加高效的下击暴流识别算法,通过对比发现,新算法较之老算法具有更快的运算速度和更好的识别效果,更能满足未来的业务化需求。
According to the significant low-level divergence characteristic in the flow field of a downburst,an more efficient method of downburst recognition using Doppler radar data is developed by improving the old image recognition algorithm.Through the comparison,it is found that the new algorithm has faster arithmetic speed and better identification effect in contrast to the old algorithm.Moreover,the new algorithm is more suitable for the future business requirements.
出处
《成都信息工程大学学报》
2017年第5期487-491,共5页
Journal of Chengdu University of Information Technology
基金
国家气象行业专项资助项目(GYHY201306008)
湖北省气象局科技发展基金资助项目(2015Q04)
关键词
信号与信息处理
雷达应用
多普勒天气雷达
下击暴流
识别算法
signal and information processing
radar application
doppler weather radar
downburst
recognition algorithm
