Detecting Coronal Holes for Solar Activity Modeling

Autor:	R. A. Hock, Charles N. Arge, Venkatesh Jatla, Marios S. Pattichis, Carl J. Henney
Předmět:	Set (abstract data type) business.industry Computer science Physics::Space Physics Astrophysics::Solar and Stellar Astrophysics Coronal hole Computer vision Artificial intelligence Focus (optics) business Magnetic field
Zdroj:	Publons ACSSC
Popis:	Solar image analysis relies on the detection of coronal holes for predicting disruptions to earth's magnetic field. This paper introduces a level-set method for detecting coronal holes based on the processing of extreme ultra-violet images (EUVI) and magnetic images. For validating the approach, two independent manual annotations were combined to produce a set of 46 consensus maps. Overall, the level-set method produces significant improvements over the currently used approach. Future work needs to focus on validating the approach on larger datasets, the integration of more imaging modalities, and an analysis of inter-rater and intra-rater variability.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73bef5cad93f314818bcc752b48b63d1 https://publons.com/publon/50710772/ Zobrazit plný text záznamu