Deep Computer Vision for Solar Physics Big Data: Opportunities and
Challenges

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges

7 September 2024

Mengnan Du

Haimin Wang

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Papers citing "Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges"

5 / 5 papers shown

Title
Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks Haodi Jiang Qin Li Yan Xu Wynne Hsu K. Ahn W. Cao Jinqiao Wang Haimin Wang 39 6 0 08 Oct 2022
Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting Chetraj Pandey Anli Ji R. Angryk M. Georgoulis Berkay Aydin 56 20 0 11 Aug 2022
SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory Richard E. L. Higgins David Fouhey S. Antiochos G. Barnes Mark C. M. Cheung J. Hoeksema K. Leka Yang Liu P. Schuck T. Gombosi 41 14 0 27 Aug 2021
Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network Hao Liu Yan Xu Jiasheng Wang J. Jing Chang Liu Jinqiao Wang Haimin Wang 32 22 0 08 May 2020
Stokes Inversion based on Convolutional Neural Networks A. Ramos Institute for Solar Physics 40 45 0 07 Apr 2019

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