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题名:
Detection of Coronal Mass Ejections Using Multiple Features and Space-Time Continuity
作者: Zhang, Ling1; Yin, Jian-qin2,3; Lin Jiaben(林佳本)3; Feng, Zhi-quan1; Zhou, Jin1
关键词: Coronal mass ejections, initiation and propagation ; Corona, models
刊名: SOLAR PHYSICS
发表日期: 2017-07-01
DOI: 10.1007/s11207-017-1107-2
卷: 292, 期:7
文章类型: Article
收录类别: SCI
WOS标题词: Science & Technology ; Physical Sciences
类目[WOS]: Astronomy & Astrophysics
研究领域[WOS]: Astronomy & Astrophysics
关键词[WOS]: EXTREME LEARNING-MACHINE ; AUTOMATIC DETECTION ; TRACKING ; CLASSIFICATION ; IMAGES ; EARTH
英文摘要: Coronal Mass Ejections (CMEs) release tremendous amounts of energy in the solar system, which has an impact on satellites, power facilities and wireless transmission. To effectively detect a CME in Large Angle Spectrometric Coronagraph (LASCO) C2 images, we propose a novel algorithm to locate the suspected CME regions, using the Extreme Learning Machine (ELM) method and taking into account the features of the grayscale and the texture. Furthermore, space-time continuity is used in the detection algorithm to exclude the false CME regions. The algorithm includes three steps: i) define the feature vector which contains textural and grayscale features of a running difference image; ii) design the detection algorithm based on the ELM method according to the feature vector; iii) improve the detection accuracy rate by using the decision rule of the space-time continuum. Experimental results show the efficiency and the superiority of the proposed algorithm in the detection of CMEs compared with other traditional methods. In addition, our algorithm is insensitive to most noise.
语种: 英语
项目资助者: National Natural Science Foundation of China(61203341 ; Fund for Outstanding Youth of Shandong Provincial High School(ZR2016JL023) ; Project of Shandong Province Higher Educational Science and Technology Program(J16LN07) ; Foundation of University of Jinan(XKY1513) ; 61375084 ; 61640218 ; 61472163 ; 61673192)
WOS记录号: WOS:000406304300009
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bao.ac.cn/handle/114a11/8882
Appears in Collections:太阳物理研究部_期刊论文

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作者单位: 1.Univ Jinan, Sch Informat Sci & Engn, Shandong Prov Key Lab Network Based Intelligent C, Jinan 250022, Shandong, Peoples R China
2.Beijing Univ Posts & Telecommun, Automat Sch, Beijing 100876, Peoples R China
3.Chinese Acad Sci, Key Lab Solar Act, Beijing 100012, Peoples R China

Recommended Citation:
Zhang, Ling,Yin, Jian-qin,Lin, Jia-ben,et al. Detection of Coronal Mass Ejections Using Multiple Features and Space-Time Continuity[J]. SOLAR PHYSICS,2017,292(7).
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