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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 4
Atmos. Meas. Tech., 11, 2041–2049, 2018
https://doi.org/10.5194/amt-11-2041-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 11, 2041–2049, 2018
https://doi.org/10.5194/amt-11-2041-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 11 Apr 2018

Research article | 11 Apr 2018

High-dynamic-range imaging for cloud segmentation

Soumyabrata Dev et al.

Data sets

Reproducible research in signal processing P. Vandewalle https://doi.org/10.1109/MSP.2009.932122

Singapore High-dynamic-range Whole sky IMaging SEGmentation Database S. Dev, F. M. Savoy, Y. H. Lee, and S. Winkler http://vintage.winklerbros.net/shwimseg.html

MATLAB scripts for HDR cloud segmentation S. Dev, F. M. Savoy, Y. H. Lee, and S. Winkler https://github.com/Soumyabrata/HDR-cloud-segmentation

Publications Copernicus
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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.
Sky–cloud images obtained from ground-based sky cameras are usually captured using a fish-eye...
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