3 citations · 3 across the 3 of their papers we have counts for
4 papers
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…
Image patch analysis of sunspots and active regions. II. Clustering via matrix factorization
Kevin R. Moon, Veronique Delouille, Jimmy J. Li +3
Separating active regions that are quiet from potentially eruptive ones is a key issue in Space Weather applications. Traditional classification schemes such as Mount Wilson and Mc…
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis
Kevin R. Moon, Jimmy J. Li, Veronique Delouille +3
The flare-productivity of an active region is observed to be related to its spatial complexity. Mount Wilson or McIntosh sunspot classifications measure such complexity but in a ca…
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…