Articles | Volume 8, issue 3
Atmos. Meas. Tech., 8, 1173–1182, 2015
https://doi.org/10.5194/amt-8-1173-2015
Atmos. Meas. Tech., 8, 1173–1182, 2015
https://doi.org/10.5194/amt-8-1173-2015

Research article 10 Mar 2015

Research article | 10 Mar 2015

Block-based cloud classification with statistical features and distribution of local texture features

H.-Y. Cheng and C.-C. Yu

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Subject: Clouds | Technique: In Situ Measurement | Topic: Data Processing and Information Retrieval
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Short summary
This work performs cloud classification on all-sky images. To deal with mixed cloud types, we propose performing block-based classification. The proposed method combines local texture features with classical statistical texture features. The experimental results have shown that applying the combined feature results in higher classification accuracy. It is also validated that using block-based classification outperforms classification on the entire images.