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http://dx.doi.org/10.17661/jkiiect.2019.12.1.7

An Enhanced Cloud Cover Reading Algorithm Against Aerosol  

Yun, Han-Kyung (School of Computer Science and Engineering, Korea University of Technology and Education)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.12, no.1, 2019 , pp. 7-12 More about this Journal
Abstract
Clouds in the atmosphere are important variables that affect the temperature change by reflecting the radiant energy of the earth surface as well as changing the amount of sunshine by reflecting the sun's radiation energy. Especially, the amount of sunshine on the surface is very important It is essential information. Therefore, eye-observations of the sky on the surface of the earth have been enhanced by satellite photographs or relatively narrowed observation equipments. Therefore, cloud automatic observing systems have been developed in order to replace the human observers, but depending on the seasons, the reliability of observations is not high enough to be applied in the field due to pollutants or fog in the atmosphere. Therefore, we have developed a cloud observation algorithm that is robust against smog and fog. It is based on the calculation of the degree of aerosol from the all-sky image, and is added to the developed cloud reader to develop season- and climate-insensitive algorithms to improve reliability. The result compared to existing cloud readers and the result of cloud cover is improved.
Keywords
cloud cover; aerosol; RGB; CMYK; HSV;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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