CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network
文献类型：期刊论文
| 作者 | Chen, Qingyang4; Lin, Hong4; Qiang, Zhenping4; Liu H(刘辉)2,3 ; Ji KF(季凯帆)2,3; Shang, Zhenhong1
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| 刊名 | ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
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| 出版日期 | 2024-11-01 |
| 卷号 | 275期号:1 |
| ISSN号 | 0067-0049 |
| DOI | 10.3847/1538-4365/ad7eb9 |
| 产权排序 | 第2完成单位 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| 学科主题 | 天文学 ; 太阳与太阳系 |
| URL标识 | 查看原文 |
| 出版地 | TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND |
| WOS关键词 | TRACKING ; MOTION |
| 资助项目 | MOST divided by National Natural Science Foundation of China (NSFC)https://doi.org/10.13039/501100001809; SOHO; Solar & Heliospheric Observatory |
| WOS研究方向 | Astronomy & Astrophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:001350286400001 |
| 出版者 | IOP Publishing Ltd |
| 资助机构 | MOST divided by National Natural Science Foundation of China (NSFC)https://doi.org/10.13039/501100001809 ; SOHO ; Solar & Heliospheric Observatory |
| 版本 | 出版稿 |
| 源URL | [http://ir.ynao.ac.cn/handle/114a53/27678]  |
| 专题 | 天文技术实验室 |
| 作者单位 | 1.Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, People's Republic of China 2.Yunnan Key Laboratory of Solar Physics and Space Science, Kunming 650216, People's Republic of China; 3.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, People's Republic of China; 4.College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, People's Republic of China; qzp@swfu.edu.cn; |
| 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). |
入库方式： OAI收割
来源：云南天文台
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