Institutional Repository System Of Yunnan Observatories, CAS
Improving Image Quality of the Solar Disk Imager (SDI) of the Lyα Solar Telescope (LST) Onboard the ASO-S Mission | |
Liu H(刘辉)1![]() ![]() ![]() ![]() | |
发表期刊 | RESEARCH IN ASTRONOMY AND ASTROPHYSICS
![]() |
2025-02-01 | |
卷号 | 25期号:2 |
DOI | 10.1088/1674-4527/ada425 |
产权排序 | 第1完成单位 |
收录类别 | SCI |
关键词 | techniques: image processing Sun: chromosphere Sun: flares methods: numerical |
摘要 | The in-flight calibration and performance of the Solar Disk Imager (SDI), which is a pivotal instrument of the Ly alpha Solar Telescope onboard the Advanced Space-based Solar Observatory mission, suggested a much lower spatial resolution than expected. In this paper, we developed the SDI point-spread function (PSF) and Image Bivariate Optimization Algorithm (SPIBOA) to improve the quality of SDI images. The bivariate optimization method smartly combines deep learning with optical system modeling. Despite the lack of information about the real image taken by SDI and the optical system function, this algorithm effectively estimates the PSF of the SDI imaging system directly from a large sample of observational data. We use the estimated PSF to conduct deconvolution correction to observed SDI images, and the resulting images show that the spatial resolution after correction has increased by a factor of more than three with respect to the observed ones. Meanwhile, our method also significantly reduces the inherent noise in the observed SDI images. The SPIBOA has now been successfully integrated into the routine SDI data processing, providing important support for the scientific studies based on the data. The development and application of SPIBOA also paves new ways to identify astronomical telescope systems and enhance observational image quality. Some essential factors and precautions in applying the SPIBOA method are also discussed. |
资助项目 | National Natural Science Foundation of China (NSFC)[12233012]; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB0560102]; National Key R&D Program of China[2022YFF0503003]; National Key R&D Program of China[2022YFF0503000] |
项目资助者 | National Natural Science Foundation of China (NSFC)[12233012] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB0560102] ; National Key R&D Program of China[2022YFF0503003, 2022YFF0503000] |
语种 | 英语 |
学科领域 | 天文学 ; 太阳与太阳系 ; 太阳与太阳系其他学科 |
文章类型 | Article |
出版者 | IOP Publishing Ltd |
出版地 | TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND |
ISSN | 1674-4527 |
URL | 查看原文 |
WOS记录号 | WOS:001408784400001 |
WOS研究方向 | Astronomy & Astrophysics |
WOS类目 | Astronomy & Astrophysics |
关键词[WOS] | NEURAL-NETWORK ; ADAPTIVE OPTICS ; SYSTEM |
引用统计 | |
文献类型 | 期刊论文 |
版本 | 出版稿 |
条目标识符 | http://ir.ynao.ac.cn/handle/114a53/28058 |
专题 | 天文技术实验室 |
作者单位 | 1.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, China; 2.Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China; [email protected]; 3.School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China |
第一作者单位 | 中国科学院云南天文台 |
推荐引用方式 GB/T 7714 | Liu H,Li, Hui,Zou SZ,et al. Improving Image Quality of the Solar Disk Imager (SDI) of the Lyα Solar Telescope (LST) Onboard the ASO-S Mission[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2025,25(2). |
APA | 刘辉.,Li, Hui.,邹思仲.,季凯帆.,金振宇.,...&Li, Ying.(2025).Improving Image Quality of the Solar Disk Imager (SDI) of the Lyα Solar Telescope (LST) Onboard the ASO-S Mission.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,25(2). |
MLA | 刘辉,et al."Improving Image Quality of the Solar Disk Imager (SDI) of the Lyα Solar Telescope (LST) Onboard the ASO-S Mission".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 25.2(2025). |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Improving Image Qual(1283KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
查看访问统计 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[刘辉]的文章 |
[Li, Hui]的文章 |
[邹思仲]的文章 |
百度学术 |
百度学术中相似的文章 |
[刘辉]的文章 |
[Li, Hui]的文章 |
[邹思仲]的文章 |
必应学术 |
必应学术中相似的文章 |
[刘辉]的文章 |
[Li, Hui]的文章 |
[邹思仲]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论