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- W4249567141 abstract "Abstract. The inhomogeneous sky background presents a great challenge for accurate cloud recognition from the total sky images. A channel operation was introduced in this study to produce a new composite channel in which the difference of atmospheric scattering has been removed and a homogeneous sky background can be obtained. Following this, a new cloud detection algorithm was proposed, which combined the merits of the differencing and threshold methods and named differencing and threshold combination algorithm (DTCA). Firstly, the channel operation was applied to transform 3-D RGB images to the new channel, then the circumsolar saturated pixels and its circularity were used to judge whether the sun is visible or not in the image. When the sun is obscured, a single threshold can be used to identify cloud pixels, and, when the sun is visible in the image, the true clear sky background differencing algorithm is adopted to detect clouds. The qualitative assessment for eight different total sky images shows the DTCA algorithm obtained satisfactory cloud identification effectiveness for thin clouds and in the circumsolar and near-horizon regions. Quantitative evaluation also shows the DTCA algorithm achieved the highest cloud recognition precision for five different types of clouds, with an average recognition error rate of 8.7 %." @default.
- W4249567141 created "2022-05-12" @default.
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- W4249567141 date "2016-08-31" @default.
- W4249567141 modified "2023-10-16" @default.
- W4249567141 title "A RGB channel operation for removal of the difference of atmospheric scattering and its application on total sky cloud detection" @default.
- W4249567141 doi "https://doi.org/10.5194/amt-2016-222" @default.
- W4249567141 hasPublicationYear "2016" @default.
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