CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network

doi:10.3847/1538-4365/ad7eb9

YNAO OpenIR > 天文技术实验室

	CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network
	Chen, Qingyang 1; Lin, Hong 1; Qiang, Zhenping 1; Liu H(刘辉)2,3 ; Ji KF(季凯帆)2,3 ; Shang, Zhenhong 4
发表期刊	ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
	2024-11-01
卷号	275 期号:1
DOI	10.3847/1538-4365/ad7eb9
产权排序	第2完成单位
收录类别	SCI
摘要	The optical flow algorithm (OF) is one the main methods for calculating image velocity field and has many applications in space weather. Most OF calculations are applied to the motion of labeled rigid objects and are not suitable for velocity detection of high-energy particles, such as in a coronal mass ejection (CME). Fluctuations in exposure time and the influence of space weather will lead to inconsistent brightness of the same feature point at different times. To address this problem, we propose an unsupervised multiscale optical flow network based on Vision Transformer, named UTFlowNet. The network comprises a multiscale feature extraction module and a coarse-to-fine global optical flow calculation module. The movement of high-energy particles emitted during a CME eruption follows certain physical rules. Therefore, we apply fluid motion-based loss functions to analyze the motion of high-energy particles more effectively, addressing the problem of CME motion field extraction. Our method can be applied to the real-time automatic extraction of a CME's velocity field and performs well with inconsistent brightness, large-scale motion, and strong CME noise. Additionally, we can estimate subpixel level fine-grained velocity. Our model may be affected by overfitting during cross-data set inference, so we encourage performing a small amount of transfer learning on new data sets to mitigate this issue. In order to verify the accuracy of our method, we conducted experiments and verification on the Solar and Heliospheric Observatory LASCO C2 data and the High Altitude Observatory MLSO data. We constructed a large-scale displacement simulation data set based on LASCO C2 data and tested on it, achieving the best results.
资助项目	MOST divided by National Natural Science Foundation of China (NSFC)https://doi.org/10.13039/501100001809; SOHO; Solar & Heliospheric Observatory
项目资助者	MOST divided by National Natural Science Foundation of China (NSFC)https://doi.org/10.13039/501100001809 ; SOHO ; Solar & Heliospheric Observatory
语种	英语
学科领域	天文学 ; 太阳与太阳系
文章类型	Article
出版者	IOP Publishing Ltd
出版地	TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
ISSN	0067-0049
URL	查看原文
WOS记录号	WOS:001350286400001
WOS研究方向	Astronomy & Astrophysics
WOS类目	Astronomy & Astrophysics
关键词[WOS]	TRACKING ; MOTION
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/114a53/27678
专题	天文技术实验室
作者单位	1.College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, People's Republic of China; [email protected]; 2.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, People's Republic of China; 3.Yunnan Key Laboratory of Solar Physics and Space Science, Kunming 650216, People's Republic of China; 4.Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, People's Republic of China
推荐引用方式 GB/T 7714	Chen, Qingyang,Lin, Hong,Qiang, Zhenping,et al. CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2024,275(1).
APA	Chen, Qingyang,Lin, Hong,Qiang, Zhenping,刘辉,季凯帆,&Shang, Zhenhong.(2024).CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network.ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,275(1).
MLA	Chen, Qingyang,et al."CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network".ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 275.1(2024).

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