CloudFU-Net: A Fine-Grained Segmentation Method for Ground-Based Cloud Images Based on an Improved Encoder–Decoder Structure
Author:
Affiliation:
1. Department of Electronics and Communication Engineering, North China Electric Power University, Baoding, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10500381.pdf?arnumber=10500381
Reference56 articles.
1. CloudNet: Ground‐Based Cloud Classification With Deep Convolutional Neural Network
2. Estimation of 2006 Northern Hemisphere contrail coverage using MODIS data
3. The International Satellite Cloud Climatology Project H-Series climate data record product
4. Comparative study of machine learning approaches for predicting short-term photovoltaic power output based on weather type classification
5. Cloud Detection Using Super Pixel Classification and Semantic Segmentation
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