Deep regression for imaging solar magnetograms using pyramid generative adversarial networks

R Alshehhi - Proceedings of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
Monitoring a large active region in the farside of the Sun is important for space weather
forecasting. However, direct imaging of the farside is currently not available and usually …
被引用次数：4 相关文章

Deep Regression for Imaging Solar Magnetograms using Pyramid Generative Adversarial Networks

R Alshehhi - 2020 IEEE/CVF Conference on Computer Vision …, 2020 - ieeexplore.ieee.org
Monitoring a large active region in the farside of the Sun is important for space weather
forecasting. However, direct imaging of the farside is currently not available and usually …

Deep regression for imaging solar magnetograms using pyramid generative adversarial networks

R Alshehhi - 2020 IEEE/CVF Conference on Computer Vision …, 2020 - nyuscholars.nyu.edu
Monitoring a large active region in the farside of the Sun is important for space weather
forecasting. However, direct imaging of the farside is currently not available and usually …
[PDF] thecvf.com

[PDF][PDF] Deep Regression for Imaging Solar Magnetograms using Pyramid Generative Adversarial Networks

R Alshehhi, A Dhabi - openaccess.thecvf.com
Monitoring a large active region in the farside of the Sun is important for space weather
forecasting. However, direct imaging of the farside is currently not available and usually …

Deep Regression for Imaging Solar Magnetograms using Pyramid Generative Adversarial Networks

R Alshehhi - 2020 IEEE/CVF Conference on Computer Vision and …, 2020 - computer.org
Monitoring a large active region in the farside of the Sun is important for space weather
forecasting. However, direct imaging of the farside is currently not available and usually …