Segmentation of coronal holes in solar disc images with a convolutional neural network
Author:
Affiliation:
1. Moscow State University, Moscow 119991, Russia
2. Kalmyk State University, Elista 358000, Russia
3. Kislovodsk Mountain Astronomical Station of the Pulkovo Observatory, Kislovodsk 357700, Russia
Funder
Robert Schalkenbach Foundation
Russian Foundation for Basic Research
Publisher
Oxford University Press (OUP)
Subject
Space and Planetary Science,Astronomy and Astrophysics
Link
http://academic.oup.com/mnras/article-pdf/481/4/5014/25992150/sty2628.pdf
Reference40 articles.
1. Coronal holes
2. DeepVel: Deep learning for the estimation of horizontal velocities at the solar surface
3. Fast and robust segmentation of solar EUV images: algorithm and results for solar cycle 23
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