Skeleton matching with applications in severe weather detection

  title={Skeleton matching with applications in severe weather detection},
  author={Mohammad Mahdi Kamani and Farshid Farhat and Stephen Wistar and James Zijun Wang},
  journal={Appl. Soft Comput.},
Severe weather conditions cause an enormous amount of damages around the globe. Bow echo patterns in radar images are associated with a number of these destructive conditions such as damaging winds, hail, thunderstorms, and tornadoes. They are detected manually by meteorologists. In this paper, we propose an automatic framework to detect these patterns with high accuracy by introducing novel skeletonization and shape matching approaches. In this framework, first we extract regions with high… CONTINUE READING