A transfer learning method to generate synthetic synoptic magnetograms
X Li, V Senthamizh Pavai, D Shukhobodskaia… - Space …, 2024 - Wiley Online Library
Current magnetohydrodynamics (MHD) models largely rely on synoptic magnetograms,
such as the ones produced by the Global Oscillation Network Group (GONG) …
such as the ones produced by the Global Oscillation Network Group (GONG) …
Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks
Image super-resolution is a branch of image processing that is concerned with enhancing
the spatial resolution and quality of images by learning the intrinsic details and relations …
the spatial resolution and quality of images by learning the intrinsic details and relations …
Super-Resolution of Solar Active Region Patches Using Generative Adversarial Networks
R Alshehhi - International Conference on Image Analysis and …, 2022 - Springer
Monitoring solar active region patches from Helioseismic and Magnetic Imager (HMI)
instruments is essential for space weather forecasting. However, recovering small bipolar …
instruments is essential for space weather forecasting. However, recovering small bipolar …
Deep Neural Network-based Active Region Magnetogram Patch Super Resolution
Image super-resolution is a branch of image processing that is concerned with enhancing
the spatial resolution and quality of images by learning the intrinsic details and relations …
the spatial resolution and quality of images by learning the intrinsic details and relations …