基于混合高斯模型的日冕物质抛射探测方法
发布时间：2018-12-14 01:01
【摘要】：提出了一种基于混合高斯模型的日冕物质抛射(CME)探测方法.基本思想是利用自适应的混合高斯模型建立较为稳定的日心极坐标下的日冕图像的动态背景,从而探测作为前景变化的CME.采用SOHO卫星上的大视角分光日冕仪(LASCO)观测的2组日冕序列图像作为研究对象,研究的内容主要包括日冕序列图像的预处理、CME的探测、自适应混合高斯背景差分法与其他多种CME探测方法的对比3个方面.实验结果表明,自适应混合高斯背景差分法探测CME是可行的,它能探测到CDAW手动目录列出的全部CME,还能探测到CDAW探测不到的强度弱和张角小的CME,而且探测数量也多于CACTus和SEEDS探测算法.
[Abstract]:A (CME) detection method for coronal mass ejection based on mixed Gao Si model is proposed. The basic idea is to use the adaptive mixed Gao Si model to establish the dynamic background of the coronal image in the heliocentric polar coordinates, so as to detect the CME. as the foreground change. Two groups of coronal sequence images observed by (LASCO) on SOHO satellite are used as research objects. The main contents of the research include the preprocessing of coronal sequence images and the detection of CME. The adaptive mixed Gao Si background difference method is compared with other CME detection methods in three aspects. The experimental results show that it is feasible to detect CME with adaptive mixed Gao Si background differential method. It can detect all CME, listed in CDAW manual directory and CME, with weak intensity and small angle that CDAW can not detect. And the number of detection is more than CACTus and SEEDS detection algorithm.
【作者单位】： 昆明理工大学信息工程与自动化学院;中国科学院空间科学与应用研究中心;西南林业大学计算机与信息学院;
【基金】：国家重点基础研究发展计划(2011CB811401) 空间科学先导专项(XDA04061002) 国家自然科学基金(11303011,11263004,11463003)资助
【分类号】：P182.62
，
本文编号：2377596
[Abstract]:A (CME) detection method for coronal mass ejection based on mixed Gao Si model is proposed. The basic idea is to use the adaptive mixed Gao Si model to establish the dynamic background of the coronal image in the heliocentric polar coordinates, so as to detect the CME. as the foreground change. Two groups of coronal sequence images observed by (LASCO) on SOHO satellite are used as research objects. The main contents of the research include the preprocessing of coronal sequence images and the detection of CME. The adaptive mixed Gao Si background difference method is compared with other CME detection methods in three aspects. The experimental results show that it is feasible to detect CME with adaptive mixed Gao Si background differential method. It can detect all CME, listed in CDAW manual directory and CME, with weak intensity and small angle that CDAW can not detect. And the number of detection is more than CACTus and SEEDS detection algorithm.
【作者单位】： 昆明理工大学信息工程与自动化学院;中国科学院空间科学与应用研究中心;西南林业大学计算机与信息学院;
【基金】：国家重点基础研究发展计划(2011CB811401) 空间科学先导专项(XDA04061002) 国家自然科学基金(11303011,11263004,11463003)资助
【分类号】：P182.62
，
本文编号：2377596
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