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Department自适应光学技术研究室(八室)
Automated Solar Flare Detection and Feature Extraction in High-Resolution and Full-Disk H alpha Images
Yang, Meng; Tian, Yu; Liu, Yangyi; Rao, Changhui
Source PublicationSOLAR PHYSICS
Volume293Issue:5Pages:81
2018-05-01
Language英语
ISSN0038-0938
DOI10.1007/s11207-018-1300-y
Indexed BySCI
WOS IDWOS:000432277100001
SubtypeJ
AbstractIn this article, an automated solar flare detection method applied to both full-disk and local high-resolution H alpha images is proposed. An adaptive gray threshold and an area threshold are used to segment the flare region. Features of each detected flare event are extracted, e.g. the start, peak, and end time, the importance class, and the brightness class. Experimental results have verified that the proposed method can obtain more stable and accurate segmentation results than previous works on full-disk images from Big Bear Solar Observatory (BBSO) and Kanzelhohe Observatory for Solar and Environmental Research (KSO), and satisfying segmentation results on high-resolution images from the Goode Solar Telescope (GST). Moreover, the extracted flare features correlate well with the data given by KSO. The method may be able to implement a more complicated statistical analysis of H alpha solar flares.
KeywordFlares, dynamics Chromosphere, active Instrumentation and data management
WOS KeywordBIG BEAR ; TRACKING ; INSTRUMENTATION
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/9374
Collection自适应光学技术研究室(八室)
Recommended Citation
GB/T 7714
Yang, Meng,Tian, Yu,Liu, Yangyi,et al. Automated Solar Flare Detection and Feature Extraction in High-Resolution and Full-Disk H alpha Images[J]. SOLAR PHYSICS,2018,293(5):81.
APA Yang, Meng,Tian, Yu,Liu, Yangyi,&Rao, Changhui.(2018).Automated Solar Flare Detection and Feature Extraction in High-Resolution and Full-Disk H alpha Images.SOLAR PHYSICS,293(5),81.
MLA Yang, Meng,et al."Automated Solar Flare Detection and Feature Extraction in High-Resolution and Full-Disk H alpha Images".SOLAR PHYSICS 293.5(2018):81.
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