Cloud Detection from a Hyperspectral Infrared Atmospheric Sounder Using a Machine-Learning Model-Reference-Cited by-同舟云学术

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Cloud Detection from a Hyperspectral Infrared Atmospheric Sounder Using a Machine-Learning Model

Published:2021-09 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI)
language:
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Author:

Shi Huaxiang¹,Yu Yi¹,Zhang Weimin¹,Ma Gang²,Zhang Qi¹,Luo Tengling¹,Huang Qunbo³

Affiliation:

1. National University of Defense Technology,College of Meteorology and Oceanography,Changsha,China

2. China Meteorological Administration (NSMC/CMA),National Satellite Meteorological Center,Beijing,China

3. 93110 Troops of People’s Liberation Army of China(PLA),Beijing,China,100843

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9718566/9718568/09719165.pdf?arnumber=9719165

Reference38 articles.

1. A Statistical Evaluation of GOES Cloud-Top Properties for Nowcasting Convective Initiation

2. Random search for hyper-parameter optimization;bergstra;Journal of Machine Learning Research,2012

3. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures;bergstra;International Conference on Machine Learning,2013

4. Lightgbm: A highly efficient gradient boosting decision tree;ke;Advances in neural information processing systems,2017

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