【摘要】：提出了一種基于混合高斯模型的日冕物質(zhì)拋射(CME)探測方法.基本思想是利用自適應(yīng)的混合高斯模型建立較為穩(wěn)定的日心極坐標(biāo)下的日冕圖像的動態(tài)背景,從而探測作為前景變化的CME.采用SOHO衛(wèi)星上的大視角分光日冕儀(LASCO)觀測的2組日冕序列圖像作為研究對象,研究的內(nèi)容主要包括日冕序列圖像的預(yù)處理、CME的探測、自適應(yīng)混合高斯背景差分法與其他多種CME探測方法的對比3個方面.實驗結(jié)果表明,自適應(yīng)混合高斯背景差分法探測CME是可行的,它能探測到CDAW手動目錄列出的全部CME,還能探測到CDAW探測不到的強(qiáng)度弱和張角小的CME,而且探測數(shù)量也多于CACTus和SEEDS探測算法.
[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.
【作者單位】： 昆明理工大學(xué)信息工程與自動化學(xué)院;中國科學(xué)院空間科學(xué)與應(yīng)用研究中心;西南林業(yè)大學(xué)計算機(jī)與信息學(xué)院;
【基金】：國家重點基礎(chǔ)研究發(fā)展計劃(2011CB811401) 空間科學(xué)先導(dǎo)專項(XDA04061002) 國家自然科學(xué)基金(11303011,11263004,11463003)資助
【分類號】：P182.62
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本文編號：2377596