3 citations · 3 across the 2 of their papers we have counts for
2 papers
astro-ph.SR2015
Improvements on coronal hole detection in SDO/AIA images using supervised classification
Martin A. Reiss, Stefan J. Hofmeister, Ruben De Visscher +5
We demonstrate the use of machine learning algorithms in combination with segmentation techniques in order to distinguish coronal holes and filaments in SDO/AIA EUV images of the S…
astro-ph.IM2012★ 3 cited
The SPOCA-suite: a software for extraction and tracking of Active Regions and Coronal Holes on EUV images
Véronique Delouille, Benjamin Mampaey, Cis Verbeeck +1
Precise localisation and characterization of active regions and coronal holes as observed by EUV imagers are crucial for a wide range of solar and helio-physics studies. We describ…