A Study of Hailstone Detection System Based on Radar Echo Reflectivity Image

Zhiying Lu, Yufeng Yang
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Abstract

Hailstone is one of the main meteorological disasters and it is very difficult to be forecasted effectively. A system of automatic recognition hail cloud is built base on the reflectivity image in this paper. The system deals the inputting image with the cut-down, filter, dilation and erosion process, and then the cloud is extracted from the image. A new concept called reflectivity density, which is used to distinguish hail cloud from rainstorm cloud, is defined. When recognized hailstone cloud the system will find the hailstone landing position by using Hough transform to detect hook echo or detecting the pixel with a reflectivity over 60 dBZ. This system is built on the Windows platform, and the experimental results validate the availability of the algorithm
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基于雷达回波反射图像的冰雹探测系统研究
冰雹是主要的气象灾害之一,很难对其进行有效预报。本文建立了基于反射率图像的雹云自动识别系统。该系统对输入图像进行裁剪、滤波、膨胀和侵蚀处理,然后从图像中提取云。定义了一个新的概念,称为反射率密度,用于区分冰雹云和暴雨云。当识别到冰雹云时,系统通过霍夫变换检测钩回波或检测反射率大于60 dBZ的像元来确定冰雹的降落位置。该系统建立在Windows平台上,实验结果验证了该算法的有效性
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