基于混合高斯模型的日冕物質(zhì)拋射探測(cè)方法
發(fā)布時(shí)間:2018-12-14 01:01
【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(cè)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(dòng)態(tài)背景,從而探測(cè)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(cè)的2組日冕序列圖像作為研究對(duì)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(cè)、自適應(yīng)混合高斯背景差分法與其他多種CME探測(cè)方法的對(duì)比3個(gè)方面.實(shí)驗(yàn)結(jié)果表明,自適應(yīng)混合高斯背景差分法探測(cè)CME是可行的,它能探測(cè)到CDAW手動(dòng)目錄列出的全部CME,還能探測(cè)到CDAW探測(cè)不到的強(qiáng)度弱和張角小的CME,而且探測(cè)數(shù)量也多于CACTus和SEEDS探測(cè)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(dòng)化學(xué)院;中國(guó)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(jì)算機(jī)與信息學(xué)院;
【基金】:國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(2011CB811401) 空間科學(xué)先導(dǎo)專項(xiàng)(XDA04061002) 國(guó)家自然科學(xué)基金(11303011,11263004,11463003)資助
【分類號(hào)】:P182.62
,
本文編號(hào):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.
【作者單位】: 昆明理工大學(xué)信息工程與自動(dòng)化學(xué)院;中國(guó)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(jì)算機(jī)與信息學(xué)院;
【基金】:國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(2011CB811401) 空間科學(xué)先導(dǎo)專項(xiàng)(XDA04061002) 國(guó)家自然科學(xué)基金(11303011,11263004,11463003)資助
【分類號(hào)】:P182.62
,
本文編號(hào):2377596
本文鏈接:http://sikaile.net/kejilunwen/tianwen/2377596.html
最近更新
教材專著