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Proceedings Paper

Recognition methods on cloud amount, movement of clouds, and rain clouds for rainfall prediction using whole sky images
Author(s): Kazuma Fujinuma; Masayuki Arai
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Paper Abstract

The final target of our research is to develop a system for forecasting local concentrated heavy rain, such as guerrilla rainstorms, by using whole sky images taken on the ground. To construct this system, this paper proposes the following recognition methods: cloud amount, movement of clouds, and rain clouds. The experimental results show that red/blue (R/B) values are efficient for measuring the cloud amount. However, using the gravity of images and the difference among time-sequenced images is insufficient to recognize the movement of clouds and does not correlate well with the R/B values and rain.

Paper Details

Date Published: 16 April 2014
PDF: 7 pages
Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 915902 (16 April 2014); doi: 10.1117/12.2063930
Show Author Affiliations
Kazuma Fujinuma, Teikyo Univ. (Japan)
Masayuki Arai, Teikyo Univ. (Japan)


Published in SPIE Proceedings Vol. 9159:
Sixth International Conference on Digital Image Processing (ICDIP 2014)
Charles M. Falco; Chin-Chen Chang; Xudong Jiang, Editor(s)

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