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Segmentation and Celestial Mapping of Unobservable Regions in Nighttime All-sky Images for Mephisto Observations

文献类型：期刊论文

作者Cui, Jian2; Du, Guo-Wang2,3; Er, Xin-Zhong4; Li, Chu-Xiang4; Hou, Jun-Fan4; Xin YX(辛玉新)1,5; Liu, Xiang-Kun2,3; Liu, Xiao-Wei2,3
刊名RESEARCH IN ASTRONOMY AND ASTROPHYSICS
出版日期2026-01-30
卷号26期号:1
关键词Astronomical Instrumentation, Methods and Techniques methods: miscellaneous techniques: image processing telescopes
ISSN号1674-4527
DOI10.1088/1674-4527/ae1812
产权排序第4完成单位
文献子类Article
英文摘要Accurate identification of unobservable regions in nighttime is essential for autonomous scheduling and data quality control in observations. Traditional methods-such as infrared sensing or photometric extinction-provide only coarse, non-spatial estimates of sky clarity, making them insufficient for real-time decision-making. This not only wastes observing time but also introduces contamination when telescopes are directed toward cloud-covered or moonlight-affected regions. To address these limitations, we propose a deep learning-based segmentation framework that provides pixel-level masks of unobservable areas using all-sky images. Supported by a manually annotated data set of nighttime images, our method enables precise detection of cloud- and moonlight-affected regions. The segmentation results are further mapped to celestial coordinates through Zenithal Equal-Area projection, allowing seamless integration with observation control systems for real-time cloud-aware scheduling. While developed for the Mephisto telescope, the framework is generalizable and applicable to other wide-field robotic observatories equipped with all-sky monitoring.
学科主题天文学 ; 天文学其他学科 ; 计算机科学技术 ; 计算机应用 ; 计算机图象处理
URL标识查看原文
出版地No.2 The Distillery, Glassfields, Avon Street, Bristol, ENGLAND
WOS关键词CLOUD DETECTION ; CLASSIFICATION ; PHOTOMETRY ; TELESCOPE ; FRAMEWORK
资助项目National Key R&D Program of China[2024YFA1611600]; Yunnan Fundamental Research Projects[202501AT070455]; Yunnan Revitalization Talent Support Program; Science & Technology Champion Project[202005AB160002]; Innovation Team Project[202105AE160021]; Top Team Project[202305AT350002]; Key Laboratory of Survey Science of Yunnan Province[202449CE340002]
WOS研究方向Astronomy & Astrophysics
语种英语
WOS记录号WOS:001625241300001
出版者IOP Publishing Ltd
资助机构National Key R&D Program of China[2024YFA1611600] ; Yunnan Fundamental Research Projects[202501AT070455] ; Yunnan Revitalization Talent Support Program ; Science & Technology Champion Project[202005AB160002] ; Innovation Team Project[202105AE160021] ; Top Team Project[202305AT350002] ; Key Laboratory of Survey Science of Yunnan Province[202449CE340002]
版本出版稿
源URL[http://ir.ynao.ac.cn/handle/114a53/28763]  
专题云南天文台_丽江天文观测站（南方基地）
通讯作者Du, Guo-Wang; Er, Xin-Zhong
作者单位1.Key Laboratory for the Structure and Evolution of Celestial Objects, Yunnan Observatories, Kunming 650011, China
2.South-Western Institute for Astronomy Research, Yunnan University, Kunming 650504, China; dugking@ynu.edu.cn;
3.Key Laboratory of Survey Science of Yunnan Province, Yunnan University, Kunming 650500, China;
4.Tianjin Astrophysics Center, Tianjin Normal University, Tianjin 300387, China; phioen@163.com;
5.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650011, China;
推荐引用方式
GB/T 7714		 Cui, Jian,Du, Guo-Wang,Er, Xin-Zhong,et al. Segmentation and Celestial Mapping of Unobservable Regions in Nighttime All-sky Images for Mephisto Observations[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2026,26(1).
APA Cui, Jian.,Du, Guo-Wang.,Er, Xin-Zhong.,Li, Chu-Xiang.,Hou, Jun-Fan.,...&Liu, Xiao-Wei.(2026).Segmentation and Celestial Mapping of Unobservable Regions in Nighttime All-sky Images for Mephisto Observations.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,26(1).
MLA Cui, Jian,et al."Segmentation and Celestial Mapping of Unobservable Regions in Nighttime All-sky Images for Mephisto Observations".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 26.1(2026).

入库方式： OAI收割

来源：云南天文台

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