Articles | Volume 11, issue 4
https://doi.org/10.5194/amt-11-2041-2018
https://doi.org/10.5194/amt-11-2041-2018
Research article
 | 
11 Apr 2018
Research article |  | 11 Apr 2018

High-dynamic-range imaging for cloud segmentation

Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, and Stefan Winkler

Viewed

Total article views: 2,815 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,629 1,115 71 2,815 69 62
  • HTML: 1,629
  • PDF: 1,115
  • XML: 71
  • Total: 2,815
  • BibTeX: 69
  • EndNote: 62
Views and downloads (calculated since 27 Sep 2017)
Cumulative views and downloads (calculated since 27 Sep 2017)

Viewed (geographical distribution)

Total article views: 2,815 (including HTML, PDF, and XML) Thereof 2,716 with geography defined and 99 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
Short summary
Sky–cloud images obtained from ground-based sky cameras are usually captured using a fish-eye lens with a wide field of view. However, the sky exhibits a large variation in the scene luminance. In most cases, the circumsolar region is overexposed, and the regions near the horizon are underexposed. In this paper, we propose HDRCloudSeg – an effective method for cloud segmentation using high-dynamic-range (HDR) imaging. We describe the entire process and also release a new database.