Ground‐Based Cloud Classification Using Task‐Based Graph Convolutional Network

Author:

Liu Shuang1,Li Mei1,Zhang Zhong1ORCID,Cao Xiaozhong2,Durrani Tariq S.3ORCID

Affiliation:

1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission Tianjin Normal University Tianjin China

2. Meteorological Observation Centre China Meteorological Administration Beijing China

3. Department of Electronic and Electrical Engineering University of Strathclyde Glasgow UK

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Reference45 articles.

1. Feature Extraction from Whole-Sky Ground-Based Images for Cloud-Type Recognition

2. Chen Z. M. Wei X. S. Wang P. &Guo Y.(2019).Multi‐label image recognition with graph convolutional networks. InIEEE Conference on Computer Vision and Pattern Recognition(pp.5177–5186).Long Beach California USA.

3. Csurka G. Dance C. Fan L. Willamowski J. &Bray C.(2004).Visual categorization with bags of keypoints. InEuropean Conference on Computer Vision Workshop on Statistical Learning in Computer Vision(pp.1–16).Prague Czech Republic.

4. Organization and Oscillations in Simulated Shallow Convective Clouds

5. ENSO and Teleconnections Observed Using MISR Cloud Height Anomalies

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