Sunspot extraction and hemispheric statistics of YNAO sunspot drawings using deep learning | |
Yang, Zhaoshuai2; Yang, Yunfei2; Feng, Song2; Liang, Bo2; Dai, Wei2; Xiong, Jianping1 | |
刊名 | ASTROPHYSICS AND SPACE SCIENCE |
2023-01 | |
卷号 | 368期号:1 |
关键词 | Sunspot drawings Deep learning Hemisphere Sunspot number Sunspot area |
ISSN号 | 0004-640X |
DOI | 10.1007/s10509-022-04155-1 |
产权排序 | 第2完成单位 |
文献子类 | Article |
英文摘要 | Sunspot drawings around the globe provide long historical records for understanding the long-term trends in the solar activity cycle. Yunnan Astronomical Observatory (YNAO) in China contributes to the relatively continuous sunspot drawings from 1957 to 2015. This paper proposes a new deep learning method named SPR-mask to extract pores, spots, umbrae and penumbrae in the YNAO sunspot drawings. SPR-mask consists of three parts: backbone, shared head and mask branch. It especially adopts a scale-aware attention network (SAAN) and a PointRend module in the mask branch to improve the accuracy of target edge segmentation. Besides that, each sunspot belonging to the northern or southern (N-S) hemisphere is determined by transforming its cartesian coordinates to spherical coordinates after extracting P, B0 and L0 handwritten in sunspot drawings using a revised Lenet-5 deep learning method. The precision, recall and AP of SPR-mask are 0.92, 0.93, and 0.92, respectively. The test results show the SPR-mask method has a good performance. The numbers and areas of pores, spots, umbrae and penumbrae for the N-S hemisphere are presented and analyzed separately. The YNAO data are also compared with Royal Greenwich Observatory (RGO), Kanzelhohe Observatory (KSO) and Purple Mountain Astronomical Observatory (PMO) data. The results show similar trends, high correlations, and N-S asymmetries. All data of YNAO are publicly shared at https://github.com/yzs64/YNAO_sd/, which are abundant and complementary to the other sunspot catalogs in the world. |
学科主题 | 天文学 ; 太阳与太阳系 ; 太阳物理学 ; 计算机科学技术 ; 人工智能 ; 计算机应用 |
URL标识 | 查看原文 |
出版地 | VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS |
资助项目 | National Natural Science Foundation of China[11763004] ; National Natural Science Foundation of China[11803085] ; National Natural Science Foundation of China[12063003] ; National Natural Science Foundation of China[U1931107] ; Yunnan Key Research and Development Program[2018IA054] ; Yunnan Applied Basic Research Project[2018FB103] |
WOS关键词 | NORTH-SOUTH ASYMMETRY ; AREAS ; ROTATION |
WOS研究方向 | Astronomy & Astrophysics |
语种 | 英语 |
出版者 | SPRINGER |
WOS记录号 | WOS:000909990600001 |
资助机构 | National Natural Science Foundation of China[11763004, 11803085, 12063003, U1931107] ; Yunnan Key Research and Development Program[2018IA054] ; Yunnan Applied Basic Research Project[2018FB103] |
内容类型 | 期刊论文 |
版本 | 出版稿 |
源URL | [http://ir.ynao.ac.cn/handle/114a53/25756] |
专题 | 云南天文台_其他 |
通讯作者 | Yang, Yunfei |
作者单位 | 1.Yunnan Astronomical Observatories, Kunming, 650051, Yunnan, People’s Republic of China 2.Faculty of Information Engineering and Automation/Yunnan Key Laboratory of Computer Technology Application, Kunming University of Science and Technology, Kunming, 650500, Yunnan, People’s Republic of China; |
推荐引用方式 GB/T 7714 | Yang, Zhaoshuai,Yang, Yunfei,Feng, Song,et al. Sunspot extraction and hemispheric statistics of YNAO sunspot drawings using deep learning[J]. ASTROPHYSICS AND SPACE SCIENCE,2023,368(1). |
APA | Yang, Zhaoshuai,Yang, Yunfei,Feng, Song,Liang, Bo,Dai, Wei,&Xiong, Jianping.(2023).Sunspot extraction and hemispheric statistics of YNAO sunspot drawings using deep learning.ASTROPHYSICS AND SPACE SCIENCE,368(1). |
MLA | Yang, Zhaoshuai,et al."Sunspot extraction and hemispheric statistics of YNAO sunspot drawings using deep learning".ASTROPHYSICS AND SPACE SCIENCE 368.1(2023). |
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