Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 9
Articles | Volume 11, issue 9
https://doi.org/10.5194/amt-11-5351-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-5351-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 9
Research article
 | 
25 Sep 2018
Research article |  | 25 Sep 2018

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

Qixiang Luo, Yong Meng, Lei Liu, Xiaofeng Zhao, and Zeming Zhou

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Latest update: 23 Nov 2024
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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.
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