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- W2034808287 abstract "Basic clustering algorithms including K-means, fusion c-means and C4.5 decision tree have been applied in cloud detection with FY-2C data. With the limitation that no reliable template is available, supervised classification algorithm is utilized to test the credibility of non-supervised classification algorithms, which contribute to generate a cloud classification model with high credibility. It is proved that cloud classification product distributed by National Satellite Meteorological Center enjoys a high credibility and stability. It is also demonstrated that FY-2C data is eligible to classify cloud into 4 types as cumulonimbus, cirrostratus, dense-cirrus and low and middle cloud." @default.
- W2034808287 created "2016-06-24" @default.
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- W2034808287 date "2008-12-28" @default.
- W2034808287 modified "2023-10-18" @default.
- W2034808287 title "A study about credible cloud classification model based on FY-2/C data" @default.
- W2034808287 doi "https://doi.org/10.1117/12.815331" @default.
- W2034808287 hasPublicationYear "2008" @default.
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