A universal method for solar filament detection from Hα observations using semi-supervised deep learning
Filaments are omnipresent features in the solar atmosphere. Their location, properties, and time evolution can provide important information about changes in solar activity and assist in the operational space weather forecast. Therefore, filaments have to be identified in full-disk images and their properties extracted from these images, but manual
Diercke, Andrea et al.
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2024