Extracting Auroral Key Local Structures From All‐Sky Auroral Images by Artificial Intelligence Technique-Reference-Cited by-同舟云学术

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Extracting Auroral Key Local Structures From All‐Sky Auroral Images by Artificial Intelligence Technique

Published:2019-05 Issue:5 Volume:124 Page:3512-3521
ISSN:2169-9380
Container-title:Journal of Geophysical Research: Space Physics
language:en
Short-container-title:J. Geophys. Res. Space Physics

Author:

Yang Qiuju¹²^ORCID,Tao Dacheng²,Han Desheng³^ORCID,Liang Jimin⁴

Affiliation:

1. School of Physics and Information TechnologyShaanxi Normal University Xi'an China

2. UBTECH Sydney AI Centre, SIT, FEITUniversity of Sydney Sydney New South Wales Australia

3. School of Ocean and Earth ScienceTongji University Shanghai China

4. School of Life Science and TechnologyXidian University Xi'an China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018JA026119

Reference20 articles.

1. Spatial characteristics of wave-like structures in diffuse aurora obtained using optical observations

2. Automatic Classification of Auroral Images From the Oslo Auroral THEMIS (OATH) Data Set Using Machine Learning

3. Aurora image segmentation by combining patch and texture thresholding

4. An extensive survey of dayside diffuse aurora based on optical observations at Yellow River Station

5. Synoptic distribution of dayside aurora: Multiple-wavelength all-sky observation at Yellow River Station in Ny-Ålesund, Svalbard

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1. Optimizing a deep learning framework for accurate detection of the Earth’s ionospheric plasma structures from all-sky airglow images;Advances in Space Research;2024-06

2. Classification of Ground‐Based Auroral Images by Learning Deep Tensor Feature Representation on Riemannian Manifold;Journal of Geophysical Research: Machine Learning and Computation;2024-06

3. Automatically Sketching Auroral Skeleton Structure in All‐Sky Image for Measuring Aurora Arcs;Journal of Geophysical Research: Space Physics;2024-04

4. Automated Classification of Auroral Images with Deep Neural Networks;Universe;2023-02-12

5. A Survey of Uncertainty Quantification in Machine Learning for Space Weather Prediction;Geosciences;2022-01-07

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