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ASCNet: Research on All-sky Camera Image Classification at the Muztagh-ata Site

文献类型：期刊论文

作者Wang, Siqi1,5; Fan, Qi4; Gu, Wenbo1,5; Wang, Haozhi1,5; Jumahali, Ayzada1,5; Shen, Lixian1,5; Zhang, Daiping3; Liu, Liyong2; Esamdin, Ali1,5
刊名RESEARCH IN ASTRONOMY AND ASTROPHYSICS
出版日期2026-03-31
卷号26期号:3页码:035002
关键词site testing methods: statistical techniques: image processing
ISSN号1674-4527
DOI10.1088/1674-4527/ae25c7
产权排序1
英文摘要Cloud coverage is one of the crucial elements of site testing in astronomy. All-sky camera (ASC) images are beneficial for our research on cloud coverage. In this paper, we propose ASCNet, an innovative model specifically designed for classifying nighttime ASC images collected at the Muztagh-ata site from 2022 March to 2024 June. ASCNet integrates ResNet34 with an ASCModule, which employs Depthwise Dilated Convolution and embeds lightweight Squeeze-and-Excitation attention within its branches to extract fine-grained texture information from the luminance channel. The data set is partitioned by category, with 70% of images assigned to the training set and 30% to the test set. The model's performance is assessed by comparing its predictions on the test set with manually annotated labels, yielding a consistency rate of 92.7%. All evaluation metrics of ASCNet are as follows: Accuracy 92.66%, Precision 83.26%, Recall 84.25%, and F1-Score 83.67%, and both ablation and comparative experiments demonstrate significant superiority over other models. A confusion matrix is utilized to analyze the differences between manual classification and model classification. The statistical results demonstrate the model's excellent classification performance and its robust generalization ability, illustrating that ASCNet has potential for application in future astronomical image classifications.
WOS关键词ASTRONOMICAL SITES ; TEMPERATURE INVERSION ; FRACTION ; NIGHTS
资助项目Chinese Academy of Sciences (CAS) Light of West China Program[2022 XBONXZ014] ; National Natural Science Foundation of China[U2031209] ; Tianshan Talent Training Program[2023TSYCLJ0053]
WOS研究方向Astronomy & Astrophysics
语种英语
WOS记录号WOS:001657077500001
出版者IOP Publishing Ltd
资助机构Chinese Academy of Sciences (CAS) Light of West China Program ; National Natural Science Foundation of China ; Tianshan Talent Training Program
源URL[http://ir.xao.ac.cn/handle/45760611-7/8459]  
专题光学天文与技术应用研究室_变星研究团组
通讯作者Gu, Wenbo; Liu, Liyong; Esamdin, Ali
作者单位1.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Peoples R China
2.Chinese Acad Sci, Natl Astron Observ, Beijing 100101, Peoples R China
3.Xinjiang Univ, Urumqi 830063, Peoples R China
4.Inner Mongolia Univ, Sch Comp Sci, Hohhot 010021, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Siqi,Fan, Qi,Gu, Wenbo,et al. ASCNet: Research on All-sky Camera Image Classification at the Muztagh-ata Site[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2026,26(3):035002.
APA Wang, Siqi.,Fan, Qi.,Gu, Wenbo.,Wang, Haozhi.,Jumahali, Ayzada.,...&Esamdin, Ali.(2026).ASCNet: Research on All-sky Camera Image Classification at the Muztagh-ata Site.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,26(3),035002.
MLA Wang, Siqi,et al."ASCNet: Research on All-sky Camera Image Classification at the Muztagh-ata Site".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 26.3(2026):035002.

入库方式： OAI收割

来源：新疆天文台

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