Classification of Ground-Based Cloud Images by Contrastive Self-Supervised Learning

Classification of Ground-Based Cloud Images by Contrastive Self-Supervised Learning

Clouds have an enormous influence on the hydrological cycle, Earth’s radiation budget, and climate changes. Accurate automatic recognition of cloud shape based on ground-based cloud images is beneficial to analyze the atmospheric motion state and water vapor content, and then to predict weather tren...

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Bibliographic Details
Main Authors: Qi Lv, Qian Li, Kai Chen, Yao Lu, Liwen Wang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
cloud classification
deep learning
self-supervised learning (SSL)
contrastive learning
Online Access:https://www.mdpi.com/2072-4292/14/22/5821

Internet

https://www.mdpi.com/2072-4292/14/22/5821

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