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An Automated Cloud Detection Method Based on Green Channel of Total Sky Visible Images : Volume 8, Issue 5 (04/05/2015)

By Yang, J.

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Book Id: WPLBN0004000460
Format Type: PDF Article :
File Size: Pages 25
Reproduction Date: 2015

Title: An Automated Cloud Detection Method Based on Green Channel of Total Sky Visible Images : Volume 8, Issue 5 (04/05/2015)  
Author: Yang, J.
Volume: Vol. 8, Issue 5
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Lu, T., Yang, J., Ma, Y., Min, Q., Du, J., Lu, W., & Yao, W. (2015). An Automated Cloud Detection Method Based on Green Channel of Total Sky Visible Images : Volume 8, Issue 5 (04/05/2015). Retrieved from

Description: State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China. Getting an accurate cloud cover state is a challenging task. In the past, traditional two-dimensional red-to-blue band methods have been widely used for cloud detection in total sky images. By analyzing the imaging principle of cameras, green channel has been selected to replace the 2-D red-to-blue band for total sky cloud detection. The brightness distribution in a total sky image is usually non-uniform, because of forward scattering and Mie scattering of aerosols, which results in increased detection errors in the circumsolar and near-horizon regions. This paper proposes an automatic cloud detection algorithm, green channel background subtraction adaptive threshold (GBSAT), which incorporates channel selection, background simulation, computation of solar mask and cloud mask, subtraction, adaptive threshold, and binarization. Several experimental cases show that the GBSAT algorithm is robust for all types of test total sky images and has more complete and accurate retrievals of visual effects than those found through traditional methods.

An automated cloud detection method based on green channel of total sky visible images

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