Automatic Estimation of Cloud Amount Using Computer Vision

Gordon B. Davis Meteorological Office, Bracknell, United Kingdom

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David J. Griggs Meteorological Office, Bracknell, United Kingdom

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Geoffrey D. Sullivan Department of Computer Science, University of Reading, United Kingdom

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Abstract

A study was carried out to establish the feasibility of using computer vision to estimate cloud amount. Various techniques were investigated and optimum diagnostic parameters derived. These were then applied to a number of images representing a range of meteorological conditions, and the techniques generally proved applicable. Refinements required to overcome inconsistent color rendition in the original images are discussed.

Abstract

A study was carried out to establish the feasibility of using computer vision to estimate cloud amount. Various techniques were investigated and optimum diagnostic parameters derived. These were then applied to a number of images representing a range of meteorological conditions, and the techniques generally proved applicable. Refinements required to overcome inconsistent color rendition in the original images are discussed.

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