120 citations · 124 across the 4 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…
SunPy - Python for Solar Physics
The SunPy Community, Stuart J Mumford, Steven Christe +19
This paper presents SunPy (version 0.5), a community-developed Python package for solar physics. Python, a free, cross-platform, general-purpose, high-level programming language, h…
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…
A Multi-Wavelength Analysis of Active Regions and Sunspots by Comparison of Automated Detection Algorithms
Cis Verbeeck, Paul A. Higgins, Tufan Colak +4
Since the Solar Dynamics Observatory (SDO) began recording ~ 1 TB of data per day, there has been an increased need to automatically extract features and events for further analysi…