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The brightness distribution of sky background is usually non-uniform, whichcreates many problems for traditional cloud detection methods, including thefailure of thin cloud detection in total sky images and significantlyreducing retrieval accuracy in the circumsolar and near-horizon regions.This paper describes the development of a new cloud detection algorithm,named "clear sky background differencing (CSBD)", which is accomplished bydifferencing the original image and the corresponding clear sky backgroundimage using the images' green channel. First, a library of clear skybackground images with a variety of solar elevation angles needs to bedeveloped. The image rotation and image brightness adjustment algorithms areapplied to ensure the two images being differenced have the same solarposition and similar brightness distribution. Sensitivity tests show thatthe cloud detection results are satisfactory when the two images have thesame solar positions. Several experimental cases show that the CSBDalgorithm obtains good cloud recognition results visually, especially forthin clouds

A total sky cloud detection method using real clear sky background