Convection-UNet: A Deep Convolutional Neural Network for Convection Detection based on the Geo High-speed Imager of Fengyun-4B-Reference-Cited by-同舟云学术

Convection-UNet: A Deep Convolutional Neural Network for Convection Detection based on the Geo High-speed Imager of Fengyun-4B

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA)
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Author:

Wang Yufei¹,Xiao Baihua²

Affiliation:

1. Chinese Academy of Sciences & University of Chinese Academy of Sciences,The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation,Beijing,China

2. Chinese Academy of Sciences,The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10145095/10145074/10145131.pdf?arnumber=10145131

Reference26 articles.

1. Deep learning-based monitoring of overshooting cloud tops from geostationary satellite data

2. Applying machine learning methods to detect convection using Geostationary Operational Environmental Satellite-16 (GOES-16) advanced baseline imager (ABI) data

3. Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery

4. Detection of Tropical Overshooting Cloud Tops Using Himawari-8 Imagery

5. Deep learning

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