Attention‐Based Machine Vision Models and Techniques for Solar Wind Speed Forecasting Using Solar EUV Images

Attention‐Based Machine Vision Models and Techniques for Solar Wind Speed Forecasting Using Solar EUV Images

Abstract Extreme ultraviolet images taken by the Atmospheric Imaging Assembly on board the Solar Dynamics Observatory make it possible to use deep vision techniques to forecast solar wind speed—a difficult, high‐impact, and unsolved problem. At a 4 day time horizon, this study uses attention‐based m...

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Bibliographic Details
Main Authors: Edward J. E. Brown, Filip Svoboda, Nigel P. Meredith, Nicholas Lane, Richard B. Horne
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:Space Weather
Subjects:
machine learning
solar wind speed
solar images
computer vision
vision transformer
coronal holes
Online Access:https://doi.org/10.1029/2021SW002976
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https://doi.org/10.1029/2021SW002976

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