A CME Automatic Detection Method Based on Adaptive Background Learning Technology
Joint Authors
Zhang, Qinghui
Qiang, Zhenping
Bai, Xianyong
Lin, Hong
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
In this paper, we describe a technique, which uses an adaptive background learning method to detect the CME (coronal mass ejections) automatically from SOHO/LASCO C2 image sequences.
The method consists of several modules: adaptive background module, candidate CME area detection module, and CME detection module.
The core of the method is based on adaptive background learning, where CMEs are assumed to be a foreground moving object outward as observed in running-difference time series.
Using the static and dynamic features to model the corona observation scene can more accurately describe the complex background.
Moreover, the method can detect the subtle changes in the corona sequences while filtering their noise effectively.
We applied this method to a month of continuous corona images, compared the result with CDAW, CACTus, SEEDS, and CORIMP catalogs and found a good detection rate in the automatic methods.
It detected about 73% of the CMEs listed in the CDAW CME catalog, which is identified by human visual inspection.
Currently, the derived parameters are position angle, angular width, linear velocity, minimum velocity, and maximum velocity of CMES.
Other parameters could also easily be added if needed.
American Psychological Association (APA)
Qiang, Zhenping& Bai, Xianyong& Zhang, Qinghui& Lin, Hong. 2019. A CME Automatic Detection Method Based on Adaptive Background Learning Technology. Advances in Astronomy،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1114435
Modern Language Association (MLA)
Qiang, Zhenping…[et al.]. A CME Automatic Detection Method Based on Adaptive Background Learning Technology. Advances in Astronomy No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1114435
American Medical Association (AMA)
Qiang, Zhenping& Bai, Xianyong& Zhang, Qinghui& Lin, Hong. A CME Automatic Detection Method Based on Adaptive Background Learning Technology. Advances in Astronomy. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1114435
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1114435