Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.400 IF 3.400
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.71 CiteScore
    3.71
  • SNIP value: 1.472 SNIP 1.472
  • IPP value: 3.57 IPP 3.57
  • SJR value: 1.770 SJR 1.770
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 70 Scimago H
    index 70
  • h5-index value: 49 h5-index 49
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.
Viewed  
Total article views: 1,241 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
907 307 27 1,241 23 32
  • HTML: 907
  • PDF: 307
  • XML: 27
  • Total: 1,241
  • BibTeX: 23
  • EndNote: 32
Views and downloads (calculated since 22 Dec 2017)
Cumulative views and downloads (calculated since 22 Dec 2017)
Viewed (geographical distribution)  
Total article views: 1,181 (including HTML, PDF, and XML) Thereof 1,171 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 22 Oct 2019
Publications Copernicus
Download
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...
Citation