Transverse Velocity Field Measurements in High-resolution Solar Images Based on Deep Learning

doi:10.1088/1674-4527/accbaf

	Transverse Velocity Field Measurements in High-resolution Solar Images Based on Deep Learning
	Shang, Zhen-Hong 3,4; Mu, Si-Yu 4; Ji KF(季凯帆)2; Qiang, Zhen-Ping 1
刊名	RESEARCH IN ASTRONOMY AND ASTROPHYSICS
	2023-06-01
卷号	23 期号:6
关键词	methods: data analysis techniques: image processing Sun: fundamental parameters
ISSN号	1674-4527
DOI	10.1088/1674-4527/accbaf
产权排序	第3完成单位
文献子类	Article
英文摘要	To address the problem of the low accuracy of transverse velocity field measurements for small targets in high -resolution solar images, we proposed a novel velocity field measurement method for high-resolution solar images based on PWCNet. This method transforms the transverse velocity field measurements into an optical flow field prediction problem. We evaluated the performance of the proposed method using the Ha and TiO data sets obtained from New Vacuum Solar Telescope observations. The experimental results show that our method effectively predicts the optical flow of small targets in images compared with several typical machine-and deep-learning methods. On the Ha data set, the proposed method improves the image structure similarity from 0.9182 to 0.9587 and reduces the mean of residuals from 24.9931 to 15.2818; on the TiO data set, the proposed method improves the image structure similarity from 0.9289 to 0.9628 and reduces the mean of residuals from 25.9908 to 17.0194. The optical flow predicted using the proposed method can provide accurate data for the atmospheric motion information of solar images. The code implementing the proposed method is available on https://github. com/lygmsy123/transverse-velocity-field-measurement.
学科主题	天文学
URL标识	查看原文
出版地	20A DATUN RD, CHAOYANG, BEIJING, 100101, PEOPLES R CHINA
WOS研究方向	Astronomy & Astrophysics
语种	英语
出版者	NATL ASTRONOMICAL OBSERVATORIES, CHIN ACAD SCIENCES
WOS记录号	WOS:000991570500001
资助机构	National Natural Science Foundation of China[12063002, 12163004, 12073077]
内容类型	期刊论文
版本	出版稿
源URL	[http://ir.ynao.ac.cn/handle/114a53/26043]
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, China 2.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, China; 3.Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming 650500, China; 4.Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; szh@kust.edu.cn;
推荐引用方式 GB/T 7714	Shang, Zhen-Hong,Mu, Si-Yu,Ji KF,et al. Transverse Velocity Field Measurements in High-resolution Solar Images Based on Deep Learning[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2023,23(6).
APA	Shang, Zhen-Hong,Mu, Si-Yu,季凯帆,&Qiang, Zhen-Ping.(2023).Transverse Velocity Field Measurements in High-resolution Solar Images Based on Deep Learning.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,23(6).
MLA	Shang, Zhen-Hong,et al."Transverse Velocity Field Measurements in High-resolution Solar Images Based on Deep Learning".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 23.6(2023).