Articles | Volume 15, issue 11
Atmos. Meas. Tech., 15, 3629–3639, 2022
https://doi.org/10.5194/amt-15-3629-2022
Atmos. Meas. Tech., 15, 3629–3639, 2022
https://doi.org/10.5194/amt-15-3629-2022
Research article
16 Jun 2022
Research article | 16 Jun 2022

An all-sky camera image classification method using cloud cover features

Xiaotong Li et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-379', Anonymous Referee #1, 03 Jan 2022
    • AC1: 'Reply on RC1', Xiaotong Li, 13 May 2022
  • RC2: 'Comment on amt-2021-379', Anonymous Referee #2, 18 Apr 2022
    • AC2: 'Reply on RC2', Xiaotong Li, 13 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xiaotong Li on behalf of the Authors (13 May 2022)  Author's response    Manuscript
ED: Publish as is (17 May 2022) by Dmitry Efremenko
Download
Short summary
The all-sky camera images can reflect the local cloud cover, which is considerable for astronomical observatory site selection. Therefore, the realization of automatic classification of the images is very important. In this paper, three cloud cover features are proposed to classify the images. The proposed method is evaluated on a large dataset, and the method achieves an accuracy of 96.58 % and F1_score of 96.24 %, which greatly improves the efficiency of automatic processing of the images.