NAOC Open IR
Solar Filament Recognition Based on Deep Learning
Zhu, Gaofei1,2,3; Lin, Ganghua1,3; Wang, Dongguang1,3; Liu, Suo1,3,4; Yang, Xiao1,3
2019-09-01
Source PublicationSOLAR PHYSICS
ISSN0038-0938
Volume294Issue:9Pages:13
AbstractThe paper presents a reliable method using deep learning to recognize solar filaments in H alpha full-disk solar images automatically. This method cannot only identify filaments accurately but also minimize the effects of noise points of the solar images. Firstly, a raw filament dataset is set up, consisting of tens of thousands of images required for deep learning. Secondly, an automated method for solar filament identification is developed using the U-Net deep convolutional network. To test the performance of the method, a dataset with 60 pairs of manually corrected H alpha images is employed. These images are obtained from the Big Bear Solar Observatory/Full-Disk H-alpha Patrol Telescope (BBSO/FDHA) in 2013. Cross-validation indicates that the method can efficiently identify filaments in full-disk H alpha images.
KeywordFilaments Prominences Image processing Deep learning
Funding OrganizationNational Science Foundation of China ; National Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; special foundation work of the Ministry of Science and Technology of China ; special foundation work of the Ministry of Science and Technology of China ; National Science Foundation of China ; National Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; special foundation work of the Ministry of Science and Technology of China ; special foundation work of the Ministry of Science and Technology of China ; National Science Foundation of China ; National Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; special foundation work of the Ministry of Science and Technology of China ; special foundation work of the Ministry of Science and Technology of China ; National Science Foundation of China ; National Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; special foundation work of the Ministry of Science and Technology of China ; special foundation work of the Ministry of Science and Technology of China
DOI10.1007/s11207-019-1517-4
WOS KeywordERUPTIONS
Language英语
Funding ProjectNational Science Foundation of China[u1531247] ; National Science Foundation of China[11427901] ; 13th Five-year Informatization Plan of Chinese Academy of Sciences[XXH13505-04] ; special foundation work of the Ministry of Science and Technology of China[2014fy120300]
Funding OrganizationNational Science Foundation of China ; National Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; special foundation work of the Ministry of Science and Technology of China ; special foundation work of the Ministry of Science and Technology of China ; National Science Foundation of China ; National Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; special foundation work of the Ministry of Science and Technology of China ; special foundation work of the Ministry of Science and Technology of China ; National Science Foundation of China ; National Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; special foundation work of the Ministry of Science and Technology of China ; special foundation work of the Ministry of Science and Technology of China ; National Science Foundation of China ; National Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; special foundation work of the Ministry of Science and Technology of China ; special foundation work of the Ministry of Science and Technology of China
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000485884300002
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/27705
Collection中国科学院国家天文台
Corresponding AuthorZhu, Gaofei
Affiliation1.Chinese Acad Sci, Natl Astron Observ, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Natl Astron Observ, Key Lab Solar Act, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Zhu, Gaofei,Lin, Ganghua,Wang, Dongguang,et al. Solar Filament Recognition Based on Deep Learning[J]. SOLAR PHYSICS,2019,294(9):13.
APA Zhu, Gaofei,Lin, Ganghua,Wang, Dongguang,Liu, Suo,&Yang, Xiao.(2019).Solar Filament Recognition Based on Deep Learning.SOLAR PHYSICS,294(9),13.
MLA Zhu, Gaofei,et al."Solar Filament Recognition Based on Deep Learning".SOLAR PHYSICS 294.9(2019):13.
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