博士生导师
硕士生导师
个人信息Personal Information
学历：博士研究生毕业
学位：理学博士学位
性别：男
在职信息：在岗
主要任职：天体物理中心负责人
其他任职：实测天体物理团队负责人
毕业院校：中国科学院研究生院（现国科大）
学科：天体物理. 空间物理学. 等离子体物理
所在单位：物理科学与技术学院
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[Title] Mapping Ground-based Coronagraphic Images to Helioprojective-Cartesian Coordinate System by Image Registration
影响因子：5.4
DOI码：10.3847/1538-4357/adf05e
教研室：天体物理
发表刊物：The Astrophysical Journal
关键字：Astronomydatareduction(1861);Solarcorona(1483);Coronagraphic imaging(313)
摘要：A few ground-based solar coronagraphs have been installed in western China for observing the low-layer corona in recent years. However, determining the helioprojective coordinates for the coronagraphic data with high precision is an important but challenging step for further research with other multiwavelength data. In this paper, we propose an automatic coronal image registration method that combines local statistical correlation and feature point matching to achieve accurate registration between ground-based coronal green-line images and space-based 211 Å images. Then, the accurate field of view information of the coronal green-line images can be derived, allowing the images to be mapped to the helioprojective Cartesian coordinates with an accuracy of no less than . This method has been extensively validated using 100 days of coronal data spanning an 11 yr period, demonstrating its broad applicability to ground-based coronagraphs equipped with green-line observations. It significantly enhances the scientific value of ground-based coronal data, enabling comprehensive studies of coronal transient activities and facilitating the joint analysis of data from multiple instruments. Additionally, it holds potential for future applications in improving the pointing accuracy of coronagraphs.
第一作者：Sha,F.Y.
论文编号：005
学科门类：理学
一级学科：天文学
卷号：990
页面范围：10
ISSN号：0004-637X
是否译文：否
发表时间：2025-08-25