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Positioning Weather Systems from Remote Sensing Data Using Genetic Algorithms

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Computational Intelligence for Remote Sensing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 133))

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Summary

Remote sensing technology is widely used in meteorology for weather system positioning. Yet, these remote sensing data are often analyzed manually based on forecasters’ experience, and results may vary among forecasters. In this chapter, we briefly introduce the problem of weather system positioning, and discuss how evolutionary algorithms can be used to solve the problem. A genetic algorithm-based framework for automatic weather system positioning is introduced. Examples on positioning tropical cyclones and line-shaped weather systems on radar data are used to demonstrate its practical use.

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Authors and Affiliations

  1. Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong,  

    Wong Ka Yan

  2. Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong,  

    Yip Chi Lap

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  1. Wong Ka Yan
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  2. Yip Chi Lap
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Manuel Graña Richard J. Duro

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Yan, W.K., Lap, Y.C. (2008). Positioning Weather Systems from Remote Sensing Data Using Genetic Algorithms. In: Graña, M., Duro, R.J. (eds) Computational Intelligence for Remote Sensing. Studies in Computational Intelligence, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79353-3_9

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  • DOI: https://doi.org/10.1007/978-3-540-79353-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79352-6

  • Online ISBN: 978-3-540-79353-3

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