| 基于空时显著性的日冕物质抛射检测 |
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| 引用本文： | 杨志鹏,尚振宏,强振平,辛泽寰,冼祥贵,夏国强.基于空时显著性的日冕物质抛射检测[J].天文学报,2021,62(6):59. |
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| 作者姓名： | 杨志鹏 尚振宏 强振平 辛泽寰 冼祥贵 夏国强 |
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| 作者单位： | 昆明理工大学信息工程与自动化学院 昆明 650500;西南林业大学数据与智能工程学院 昆明 650224 |
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| 基金项目： | 国家自然科学基金项目(12063002、12163004)资助 |
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| 摘 要： | 日冕物质抛射(Coronal Mass Ejection, CME)是一种剧烈的太阳爆发现象, 它会对行星际空间造成严重扰动, 进而影响人类生产、生活. 基于CME的时空显著性, 将显著性检测方法引入到CME检测中, 利用结构化矩阵分解SOHO (Solar and Heliospheric Observatory)的大角度光谱日冕仪(Large Angle and Spectrometric Coronagraph Experiment, LASCO) C2的日冕图像对应的特征矩阵, 从中恢复出稀疏部分获得显著前景. 然后考虑CME运动时产生的时间显著性, 从而去除非CME结构(如冕流), 得到最终检测结果. 实验表明, 以人工目录协调数据分析中心(Coordinated Data Analysis Workshop, CDAW)检测结果为基准时, 所提方法不仅在检测CME数量上比计算机辅助跟踪软件包(Computer Aided CME Tracking Software package, CACTus)和太阳爆发事件检测系统(Solar Eruptive Event Detection System, SEEDS)有优势, 还在CME中心角度和张角宽度等特征物理参数测量上比CACTus和SEEDS更接近CDAW目录参考值.
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| 关 键 词： | 太阳: 日冕物质抛射 技术: 图像处理 方法: 空时显著性融合 |
| 收稿时间： | 2021/1/25 0:00:00 |
Detection of Coronal Mass Ejection Based on Spatial-temporal Saliency |
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| YANG Zhi-peng,SHANG Zhen-hong,QIANG Zhen-ping,XIN Ze-huan,XIAN Xiang-gui,XIA Guo-qiang.Detection of Coronal Mass Ejection Based on Spatial-temporal Saliency[J].Acta Astronomica Sinica,2021,62(6):59. |
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| Authors: | YANG Zhi-peng SHANG Zhen-hong QIANG Zhen-ping XIN Ze-huan XIAN Xiang-gui XIA Guo-qiang |
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| Institution: | Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500;College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224 |
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| Abstract: | Coronal Mass Ejections (CMEs) are one of the most severe solar eruptive phenomena, which could introduce significant disturbances to the interplanetary space and further affect human production and life. Here in this paper, we introduce the saliency detection method into the CME detection based on their spatial-temporal saliency, which uses a structured matrix to decompose the feature matrix corresponding to SOHO (Solar and Heliospheric Observatory) LASCO (Large Angle and Spectrometric Coronagraph Experiment) C2 corona images and restores the sparse part to obtain a salient foreground. We then consider the temporal saliency generated by the motion of CMEs to remove non-CME structures such as coronal streamers, and finally give the detection results. Experiments further show that, based on detection results from the Coordinated Data Analysis Workshop (CDAW), the proposed method is not only superior to the Computer Aided Tracking CME Software package (CACTus) and the Solar Eruptive Event Detection System (SEEDS) in the number of CMEs successfully detected, but also closer to the CDAW catalog reference values than CACTus and SEEDS in measuring the characteristic physical parameters of CMEs including their center angles and angular widths. |
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| Keywords: | Sun: coronal mass ejections (CMEs) techniques: image processing methods: spatial-temporal saliency fusion |
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