Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 3
Articles | Volume 16, issue 3
https://doi.org/10.5194/amt-16-707-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-707-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 3
Research article
 | 
08 Feb 2023
Research article |  | 08 Feb 2023

Estimation of raindrop size distribution and rain rate with infrared surveillance camera in dark conditions

Jinwook Lee, Jongyun Byun, Jongjin Baik, Changhyun Jun, and Hyeon-Joon Kim

Viewed

Total article views: 2,422 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,847 514 61 2,422 49 50
  • HTML: 1,847
  • PDF: 514
  • XML: 61
  • Total: 2,422
  • BibTeX: 49
  • EndNote: 50
Views and downloads (calculated since 23 Aug 2022)
Cumulative views and downloads (calculated since 23 Aug 2022)

Viewed (geographical distribution)

Total article views: 2,422 (including HTML, PDF, and XML) Thereof 2,506 with geography defined and -84 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Our study addresses raindrop size distribution and rain rate by extracting rain streaks using a k-nearest-neighbor-based algorithm, estimating rainfall intensity using raindrop size distribution based on physical optics analysis, and verifying the estimated raindrop size distribution using a disdrometer. Experimentation demonstrated the possibility of estimating an image-based raindrop size distribution and rain rate obtained based on such low-cost equipment in dark conditions.
Read more