Matching methods of classic hail echo cores of weather radar

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• 作者：Xue-tao Yu (1)
  Xiao-ping Rui (2)
  Shuang-xi Fu (3)
  Wei Liu (4)
  
  1. Transportation Institute ; Shijiazhuang Tiedao University ; Shijiazhuang ; 050043 ; China
  2. College of Resources and Environment ; University of Chinese Academy of Sciences ; Beijing ; 100049 ; China
  3. Gansu Province Artificial Modification Weather Office ; Lanzhou ; 730020 ; China
  4. Puyang Meteorological Bureau ; Puyang ; 457000 ; China
  
• 关键词：Hail echo ; Color auto ; correlogram ; Gray ; level co ; occurrence matrix ; Template ; based matching ; Feature ; based matching
• 刊名：Natural Hazards
• 出版年：2015
• 出版时间：March 2015
• 年：2015
• 卷：76
• 期：1
• 页码：215-234
• 全文大小：4,547 KB
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• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Hydrogeology
  Geophysics and Geodesy
  Geotechnical Engineering
  Civil Engineering
  Environmental Management
  
• 出版者：Springer Netherlands
• ISSN：1573-0840

文摘

Because the shape, intensity, and texture features of classic hail echo cores are easy to observe, these features are used to examine the matching methods of classic hail echo cores by using template-based and feature-based matching algorithms in this study. We first introduce the shape, intensity, and texture features of classic hail echo cores and the methods of expressing them quantitatively. Template-based and content-based matching algorithms are then used to calculate the similarity distance between classic hail echoes and real-time echoes and to determine the matching patterns between them based on pixels and features. In addition, we verify and analyze the proposed matching methods by using the case data of an extraordinarily severe hailstorm occurring in the Gansu province of China on May 30, 2005. Our research indicates that the identification rates of these two types of matching methods are very high and that the color features of classic hail echo core images are easy to observe. Moreover, V-shaped notches can also be identified and matched by using the texture feature-based matching method under stricter conditions. However, the results rely to a certain degree on the choices of templates, which indicate that the texture features of classic hail echo core images are not very obvious.