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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 11, issue 9
Atmos. Meas. Tech., 11, 5351-5361, 2018
https://doi.org/10.5194/amt-11-5351-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 11, 5351-5361, 2018
https://doi.org/10.5194/amt-11-5351-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 25 Sep 2018

Research article | 25 Sep 2018

Cloud classification of ground-based infrared images combining manifold and texture features

Qixiang Luo et al.
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Qixiang Luo on behalf of the Authors (10 Aug 2018)  Author's response    Manuscript
ED: Publish subject to technical corrections (07 Sep 2018) by Alyn Lambert
AR by Qixiang Luo on behalf of the Authors (07 Sep 2018)  Author's response    Manuscript
Publications Copernicus
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Short summary
In this paper, a novel cloud classification method is proposed to group images into five cloud types based on manifold and texture features. The proposed method is comprised of three stages: data pre-processing, feature extraction and classification. Compared to the recent cloud type recognition methods, the experimental results illustrate that the proposed method acquires a higher recognition rate with an increase of 2%–10% on the ground-based infrared datasets.
In this paper, a novel cloud classification method is proposed to group images into five cloud...
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