期刊
ATMOSPHERIC MEASUREMENT TECHNIQUES
卷 9, 期 2, 页码 587-597出版社
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/amt-9-587-2016
关键词
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资金
- National Key Scientific Instrument and Equipment Development Projects of China [2012YQ11020504]
- National Natural Science Foundation of China [41105121, 41105122]
- Basic Research Fund of Chinese Academy of Meteorological Sciences [2015Y010]
- Science and Technology Research Foundation of SGCC [DZB17201200260]
The brightness distribution of sky background is usually non-uniform, which creates many problems for traditional cloud detection methods, including the failure of thin cloud detection in total sky images and significantly reducing 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 by differencing the original image and the corresponding clear sky background image using the images' green channel. First, a library of clear sky background images with a variety of solar elevation angles needs to be developed. The image rotation and image brightness adjustment algorithms are applied to ensure the two images being differenced have the same solar position and similar brightness distribution. Sensitivity tests show that the cloud detection results are satisfactory when the two images have the same solar positions. Several experimental cases show that the CSBD algorithm obtains good cloud recognition results visually, especially for thin clouds.
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