Skeleton matching with applications in severe weather detection

@article{Kamani2018SkeletonMW,
  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.},
  year={2018},
  volume={70},
  pages={1154-1166}
}
  • Mohammad Mahdi Kamani, Farshid Farhat, +1 author James Zijun Wang
  • Published in Appl. Soft Comput. 2018
  • Mathematics, Computer Science
  • Abstract 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… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 39 REFERENCES

    The Elements of Statistical Learning

    VIEW 6 EXCERPTS
    HIGHLY INFLUENTIAL

    Shape matching and object recognition using shape contexts

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    Fuzzy Sets

    Severe Thunderstorm Detection by Visual Learning Using Satellite Images

    VIEW 1 EXCERPT

    G

    • P. K. Saha, G. Borgefors
    • S. di Baja, A survey on skeletonization algorithms and their applications, Pattern Recognition Letters 76
    • 2016
    VIEW 1 EXCERPT

    Shape matching using skeleton context for automated bow echo detection

    VIEW 1 EXCERPT

    Visually Comparing Weather Features in Forecasts

    VIEW 1 EXCERPT

    Ilg , Voronoi skeletons : Theory and applications

    • M. R. Ogniewicz
    • IEEE Computer Society Conference on Computer Vision and Pattern Recognition
    • 2015

    Multimodal Deep Autoencoder for Human Pose Recovery

    VIEW 1 EXCERPT