中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Detection and Segmentation for Chromosphere Bright Points by CLPNet

文献类型:期刊论文

作者Zhang, Xichen1; Yang, Yunfei1; Zhang, Xiaoli1; Feng, Song1; Dai, Wei1; Liang, Bo1; Xiong JP(熊建萍)2
刊名SOLAR PHYSICS
出版日期2026-03-24
卷号301期号:3
关键词Chromosphere bright points CLPNet Object segmentation Feature statistics
ISSN号0038-0938
DOI10.1007/s11207-026-02638-w
产权排序第2完成单位
文献子类Article
英文摘要Chromosphere bright points (CBPs) are small and bright magnetic structures, which are the reflection of the cross sections of the magnetic-flux tubes crossing the chromosphere. Accurate detection and segmentation of CBPs enable large-scale data acquisition and then feature extraction. In this paper, we propose the CLPNet model based on the LPNet architecture. By restructuring the global feature extractor and patch network module, we improve the segmentation accuracy and small-object detection. The Ca II H image-series of the quiet regions from the Solar Optical Telescope (SOT) on board Hinode are used to construct a training set containing of 448 images and approximately 4000 CBPs were constructed, and two test sets, which contain 40 images including 600 CBPs and 50 images including 700 CBPs respectively. The average precision, recall, F1-score of test sets 1 and 2 are 0.846, 0.847 and 0.846, respectively. For the segmentation effect at the pixel level, the average pixel precision, pixel recall and pixel F1-score and mIoU value of test sets 1 and 2 are 0.722, 0.766, 0.742 and 0.640, respectively. This indicates that CLPNet demonstrates a commendable level of efficiency and accuracy in both detection and segmentation tasks.The compactness is used for classifying the morphology of CBPs. Specifically, CBPs exhibiting compactness less than or equal to 1.13 are regarded as point-like CBPs, which could correspond to a single slender flux tube. Otherwise, CBPs are regarded as non-point-like CBPs, which could correspond to the interaction of several slender flux tubes. There are differences in features between point-like and non-point-like CBPs. The mean compactnesses are 1.06 +/- 0.04 and 1.20 +/- 0.07, respectively. The mean equivalent diameters are 201 +/- 50 and 279 +/- 60 km, respectively. The mean values of the maximum intensity contrast are 1.14 +/- 0.47 and 1.54 +/- 0.66 < IQS_Ca >\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$\langle I_{\text{QS}\_\text{Ca}} \rangle $\end{document}, respectively. The mean values of eccentricity are 0.60 +/- 0.14 and 0.78 +/- 0.11, respectively. This research provides a more precise methodology for the comprehensive study of CBPs, offering novel insights into the physical phenomena occurring on the chromosphere and then establishing a quantitative foundation for three-dimensional modeling of magnetic-flux tubes and investigations into coronal heating mechanisms.
学科主题天文学 ; 太阳与太阳系
URL标识查看原文
出版地VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
WOS关键词MAGNETIC ELEMENTS ; SIZE ; TRACKING ; FIELDS
资助项目National Natural Science Foundation of China[Nos. 11763004]
WOS研究方向Astronomy & Astrophysics
语种英语
WOS记录号WOS:001721861700001
出版者SPRINGER
资助机构National Natural Science Foundation of China[Nos. 11763004]
版本出版稿
源URL[http://ir.ynao.ac.cn/handle/114a53/29060]  
专题云南天文台_大样本恒星演化研究组
通讯作者Yang, Yunfei
作者单位1.Faculty of Information Engineering and Automation/Yunnan Key Laboratory of Computer Technology Application, Kunming University of Science and Technology, Kunming, 650500, Yunnan, China;
2.Yunnan Observatories, Chinese Academy of Sciences, Kunming, 650051, China
推荐引用方式
GB/T 7714
Zhang, Xichen,Yang, Yunfei,Zhang, Xiaoli,et al. Detection and Segmentation for Chromosphere Bright Points by CLPNet[J]. SOLAR PHYSICS,2026,301(3).
APA Zhang, Xichen.,Yang, Yunfei.,Zhang, Xiaoli.,Feng, Song.,Dai, Wei.,...&熊建萍.(2026).Detection and Segmentation for Chromosphere Bright Points by CLPNet.SOLAR PHYSICS,301(3).
MLA Zhang, Xichen,et al."Detection and Segmentation for Chromosphere Bright Points by CLPNet".SOLAR PHYSICS 301.3(2026).

入库方式: OAI收割

来源:云南天文台

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