Automatic Detection of Sunspots on Full-disk Solar Images Using the Simulated Annealing Genetic Method

doi:10.1088/1538-3873/aadbfa

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	Automatic Detection of Sunspots on Full-disk Solar Images Using the Simulated Annealing Genetic Method
	Yang, Yunfei 1,2; Yang, Hongjuan 1; Bai, Xianyong 2; Zhou, Huituan 3; Feng, Song 1; Liang, Bo 1
刊名	PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC
	2018-10-01
卷号	130 期号:992 页码:14
关键词	methods: data analysis Sun: activity sunspots techniques: image processing
ISSN号	0004-6280
DOI	10.1088/1538-3873/aadbfa
英文摘要	Sunspots with strong magnetic fields are the most important manifestations of solar activity, appearing as dark features in the photosphere observed in continuum images. We proposed an artificial intelligence technology called the simulated annealing genetic (SAG) method, which combined the genetic algorithm and simulated annealing algorithm to self-adaptively derive dual thresholds for detecting the umbra and penumbra of sunspots simultaneously. Full-disk continuum intensity images obtained from Solar Dynamics Observatory/Helioseismic Magnetic Imager (HMI) at a cadence of four hours from 2010 May to 2016 December were used. The detection results showed that the dual thresholds derived by the SAG method have outstanding performance in segmenting the umbra and penumbra from the photosphere with a satisfactory robustness efficiently. The boundaries of the umbra and penumbra were finely delineated, even for sunspots at the extreme solar limb. The total sunspot areas, umbral areas, and penumbral areas match very well with the data reported from HMI Debrecen Data (HMIDD), with the correlation coefficients reaching 0.99, 0.99, and 0.95, respectively. The mean ratios of umbra to sunspot areas per year ranged from 0.159 to 0.233. The ratios decreased with an increase in solar activity, which implies that the ratio was related to the solar activity level.
资助项目	National Natural Science Foundation of China[11763004] ; National Natural Science Foundation of China[11573012] ; National Natural Science Foundation of China[11303011] ; National Natural Science Foundation of China[11463003] ; Open Research Program of the Key Laboratory of Solar Activity of the Chinese Academy of Sciences[KLSA201815]
WOS关键词	ACTIVE REGIONS ; MAGNETIC RECONNECTION ; AREAS ; CONTRAST ; CATALOGS ; FIELDS
WOS研究方向	Astronomy & Astrophysics
语种	英语
出版者	IOP PUBLISHING LTD
WOS记录号	WOS:000444291700001
资助机构	National Natural Science Foundation of China ; National Natural Science Foundation of China ; Open Research Program of the Key Laboratory of Solar Activity of the Chinese Academy of Sciences ; Open Research Program of the Key Laboratory of Solar Activity of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Open Research Program of the Key Laboratory of Solar Activity of the Chinese Academy of Sciences ; Open Research Program of the Key Laboratory of Solar Activity of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Open Research Program of the Key Laboratory of Solar Activity of the Chinese Academy of Sciences ; Open Research Program of the Key Laboratory of Solar Activity of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Open Research Program of the Key Laboratory of Solar Activity of the Chinese Academy of Sciences ; Open Research Program of the Key Laboratory of Solar Activity of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/23170]
专题	中国科学院国家天文台
通讯作者	Yang, Yunfei
作者单位	1.Kunming Univ Sci & Technol, Yunnan Key Lab Comp Technol Applicat, Fac Informat Engn & Automat, Kunming 650500, Yunnan, Peoples R China 2.Natl Astron Observ, CAS Key Lab Solar Act, Beijing 100012, Peoples R China 3.China Telecom Corp Ltd, Yunnan Branch, Kunming 650200, Yunnan, Peoples R China
推荐引用方式 GB/T 7714	Yang, Yunfei,Yang, Hongjuan,Bai, Xianyong,et al. Automatic Detection of Sunspots on Full-disk Solar Images Using the Simulated Annealing Genetic Method[J]. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,2018,130(992):14.
APA	Yang, Yunfei,Yang, Hongjuan,Bai, Xianyong,Zhou, Huituan,Feng, Song,&Liang, Bo.(2018).Automatic Detection of Sunspots on Full-disk Solar Images Using the Simulated Annealing Genetic Method.PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,130(992),14.
MLA	Yang, Yunfei,et al."Automatic Detection of Sunspots on Full-disk Solar Images Using the Simulated Annealing Genetic Method".PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC 130.992(2018):14.