Articles | Volume 13, issue 4
https://doi.org/10.5194/amt-13-1953-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-1953-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Apr 2020
Research article |
| 17 Apr 2020
| 17 Apr 2020
SegCloud: a novel cloud image segmentation model using a deep convolutional neural network for ground-based all-sky-view camera observation
Wanyi Xie
Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and
Fine Mechanics, Chinese Academy of Sciences, Hefei 230088, China
Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, China
Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and
Fine Mechanics, Chinese Academy of Sciences, Hefei 230088, China
Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, China
Ming Yang
Anhui Air Traffic Management Bureau, Civil Aviation Administration of
China, Hefei, 230094, China
Shaoqing Chen
Anhui Air Traffic Management Bureau, Civil Aviation Administration of
China, Hefei, 230094, China
Benge Wang
Anhui Air Traffic Management Bureau, Civil Aviation Administration of
China, Hefei, 230094, China
Zhenzhu Wang
Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and
Fine Mechanics, Chinese Academy of Sciences, Hefei 230088, China
Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, China
Yingwei Xia
Opto-Electronics Applied Technology Research Center, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
Yong Liu
Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, China
Opto-Electronics Applied Technology Research Center, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
Yiren Wang
CORRESPONDING AUTHOR
Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and
Fine Mechanics, Chinese Academy of Sciences, Hefei 230088, China
Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, China
Chaofan Zhang
CORRESPONDING AUTHOR
Opto-Electronics Applied Technology Research Center, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
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- Cloud detection using convolutional neural networks on remote sensing images L. Matsunobu et al. 10.1016/j.solener.2021.10.065
- Applying self-supervised learning for semantic cloud segmentation of all-sky images Y. Fabel et al. 10.5194/amt-15-797-2022
- Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera Y. Wang et al. 10.3390/rs13091852
- Cloud-Cluster: An uncertainty clustering algorithm based on cloud model Y. Liu et al. 10.1016/j.knosys.2023.110261
- Feasibility of Ground-Based Sky-Camera HDR Imagery to Determine Solar Irradiance and Sky Radiance over Different Geometries and Sky Conditions P. Valdelomar et al. 10.3390/rs13245157
- ACLNet: an attention and clustering-based cloud segmentation network D. Makwana et al. 10.1080/2150704X.2022.2097031
- Cloud Segmentation, Validation of Weather Data, and Precipitation Prediction Using Machine Learning Algorithms N. Rajendiran et al. 10.1007/s13369-023-08611-0
- Validation of a camera-based intra-hour irradiance nowcasting model using synthetic cloud data P. Gregor et al. 10.5194/amt-16-3257-2023
- CloudFU-Net: A Fine-Grained Segmentation Method for Ground-Based Cloud Images Based on an Improved Encoder–Decoder Structure C. Shi et al. 10.1109/TGRS.2024.3389089
- Characterization of the vertical evolution of urban nocturnal boundary layer by UAV measurements: Insights into relations to cloud radiative effect L. Shen et al. 10.1016/j.envres.2023.116323
- Creating Cloud Segmentation Data Set Using Sky Images of Afyonkarahisar Region A. Eşlik et al. 10.1051/e3sconf/202448701003
- CloudDeepLabV3+: a lightweight ground-based cloud segmentation method based on multi-scale feature aggregation and multi-level attention feature enhancement S. Li et al. 10.1080/01431161.2023.2240034
- A dual attentional skip connection based Swin‐UNet for real‐time cloud segmentation F. Wei et al. 10.1049/ipr2.13186
- Cloud detection algorithm based on point by point refinement J. Zhang 10.1088/1742-6596/2580/1/012049
- A Novel Ground-Based Cloud Image Segmentation Method by Using Deep Transfer Learning Z. Zhou et al. 10.1109/LGRS.2021.3072618
- Ground-Based Remote Sensing Cloud Detection Using Dual Pyramid Network and Encoder–Decoder Constraint Z. Zhang et al. 10.1109/TGRS.2022.3163917
- CCAD-Net: A Cascade Cloud Attribute Discrimination Network for Cloud Genera Segmentation in Whole-Sky Images L. Ye et al. 10.1109/LGRS.2022.3184961
- BSANet: A Bilateral Segregation and Aggregation Network for Real-time Cloud Segmentation Y. Li et al. 10.1016/j.rsase.2025.101536
- Angular Calibration of Visible and Infrared Binocular All-Sky-View Cameras Using Sun Positions W. Xie et al. 10.3390/rs13132455
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- Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey Y. Nie et al. 10.1016/j.rser.2023.113977
- Nowcasting Solar Irradiance Components Using a Vision Transformer and Multimodal Data from All-Sky Images and Meteorological Observations O. Bayasgalan & A. Akisawa 10.3390/en18092300
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- Ground-Based Cloud Detection Using Multiscale Attention Convolutional Neural Network Z. Zhang et al. 10.1109/LGRS.2021.3106337
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- ResAG-UNet: A Novel Residual Attention Gated UNet for Cloud Segmentation in Sky Image A. Kumar et al. 10.1109/JPHOTOV.2024.3485188
Latest update: 30 May 2025
