NSSC OpenIR  > 空间环境部
Alternative TitleDetecting coronal mass ejection method by analyzing spectrum change
曾昭宪; 刘毅; 魏雅利; Zeng, Z. (zhaoxian.zeng@gmail.com)
Source Publication华中科技大学学报:自然科学版
Keyword日冕物质抛射 日冕观测图像 频谱突变分析 区域协方差分析 噪声过滤
Abstract提出一种从空间日冕观测图像中 自动识别日冕物质抛射事件(CME)并分析计算事件特征参数的新方法,该方法主要包括以下3个步骤:通过预处理去除原始观测图像中的各种噪声;针对CME 的视觉统计特性,利用频谱突变分析从预处理后的观测图像中准确分离CME像区域;基于区域协方差分析提取出角宽度、速度等CME特征参数.由于采用了频谱 突变分析技术而非亮度增强检测技术来检测CME,该方法在识别多重和晦暗CME时具有更好的效果.
Other AbstractAn automatic method was presented to detect coronal mass ejections (CME) in Coronagraph images and analysis the characteristic parameters of the events. The method consisted of the following three steps: preprocessing to remove the noise in the original observation image; according to the visual statistical characteristics of CMEs, separated CME region from the observed image after preprocessing using spectrum sudden change analysis; calculated the CME feature parameters such as angular width and speed based on region covariance analysis. Different from brightness comparison which was widely used in currently methods, CMEs were detected by analyzing the sudden change of frequency spectrum in coronagraph. This method should be more effective while detecting multiple and faint CME.
Indexed ByEI
Document Type期刊论文
Corresponding AuthorZeng, Z. (zhaoxian.zeng@gmail.com)
Recommended Citation
GB/T 7714
曾昭宪,刘毅,魏雅利,等. 基于频谱突变分析的日冕物质抛射识别方法[J]. 华中科技大学学报:自然科学版,2012,40(SUPPL.1):379-383.
APA 曾昭宪,刘毅,魏雅利,&Zeng, Z. .(2012).基于频谱突变分析的日冕物质抛射识别方法.华中科技大学学报:自然科学版,40(SUPPL.1),379-383.
MLA 曾昭宪,et al."基于频谱突变分析的日冕物质抛射识别方法".华中科技大学学报:自然科学版 40.SUPPL.1(2012):379-383.
Files in This Item: Download All
File Name/Size DocType Version Access License
201240SUPPL1379.pdf(638KB) 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[曾昭宪]'s Articles
[刘毅]'s Articles
[魏雅利]'s Articles
Baidu academic
Similar articles in Baidu academic
[曾昭宪]'s Articles
[刘毅]'s Articles
[魏雅利]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[曾昭宪]'s Articles
[刘毅]'s Articles
[魏雅利]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 201240SUPPL1379.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.