Single and Multiwavelength Detection of Coronal Dimming and Coronal Wave Using Faster R-CNN
Automatic detection of solar events, especially uncommon events such as coronal dimming (CD) and coronal wave (CW), is very important in solar physics research. The CD and CW are not only related to the detection of coronal mass ejections (CMEs) but also affect space weather. In this paper, we have...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Advances in Astronomy |
| Online Access: | http://dx.doi.org/10.1155/2019/7821025 |
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| author | Zongxia Xie Chunyang Ji |
| author_facet | Zongxia Xie Chunyang Ji |
| author_sort | Zongxia Xie |
| collection | DOAJ |
| description | Automatic detection of solar events, especially uncommon events such as coronal dimming (CD) and coronal wave (CW), is very important in solar physics research. The CD and CW are not only related to the detection of coronal mass ejections (CMEs) but also affect space weather. In this paper, we have studied methods for automatically detecting them. In addition, we have collected and processed a dataset that includes the solar images and event records, where the solar images come from the Atmospheric Imaging Assembly (AIA) of Solar Dynamics Observatory (SDO) and the event records come from Heliophysics Event Knowledgebase (HEK). Different from the methods used before, we introduce the idea of deep learning. We train single-wavelength and multiwavelength models based on Faster R-CNN. In terms of accuracy, the single-wavelength model performs better. The multiwavelength model has a better detection performance on multiple solar events than the single-wavelength model. |
| format | Article |
| id | doaj-art-e67c456a866b41aeab357592eb882ebf |
| institution | Kabale University |
| issn | 1687-7969 1687-7977 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Astronomy |
| spelling | doaj-art-e67c456a866b41aeab357592eb882ebf2025-02-03T05:45:33ZengWileyAdvances in Astronomy1687-79691687-79772019-01-01201910.1155/2019/78210257821025Single and Multiwavelength Detection of Coronal Dimming and Coronal Wave Using Faster R-CNNZongxia Xie0Chunyang Ji1College of Intelligence and Computing, Tianjin University, Tianjin 300350, ChinaCollege of Intelligence and Computing, Tianjin University, Tianjin 300350, ChinaAutomatic detection of solar events, especially uncommon events such as coronal dimming (CD) and coronal wave (CW), is very important in solar physics research. The CD and CW are not only related to the detection of coronal mass ejections (CMEs) but also affect space weather. In this paper, we have studied methods for automatically detecting them. In addition, we have collected and processed a dataset that includes the solar images and event records, where the solar images come from the Atmospheric Imaging Assembly (AIA) of Solar Dynamics Observatory (SDO) and the event records come from Heliophysics Event Knowledgebase (HEK). Different from the methods used before, we introduce the idea of deep learning. We train single-wavelength and multiwavelength models based on Faster R-CNN. In terms of accuracy, the single-wavelength model performs better. The multiwavelength model has a better detection performance on multiple solar events than the single-wavelength model.http://dx.doi.org/10.1155/2019/7821025 |
| spellingShingle | Zongxia Xie Chunyang Ji Single and Multiwavelength Detection of Coronal Dimming and Coronal Wave Using Faster R-CNN Advances in Astronomy |
| title | Single and Multiwavelength Detection of Coronal Dimming and Coronal Wave Using Faster R-CNN |
| title_full | Single and Multiwavelength Detection of Coronal Dimming and Coronal Wave Using Faster R-CNN |
| title_fullStr | Single and Multiwavelength Detection of Coronal Dimming and Coronal Wave Using Faster R-CNN |
| title_full_unstemmed | Single and Multiwavelength Detection of Coronal Dimming and Coronal Wave Using Faster R-CNN |
| title_short | Single and Multiwavelength Detection of Coronal Dimming and Coronal Wave Using Faster R-CNN |
| title_sort | single and multiwavelength detection of coronal dimming and coronal wave using faster r cnn |
| url | http://dx.doi.org/10.1155/2019/7821025 |
| work_keys_str_mv | AT zongxiaxie singleandmultiwavelengthdetectionofcoronaldimmingandcoronalwaveusingfasterrcnn AT chunyangji singleandmultiwavelengthdetectionofcoronaldimmingandcoronalwaveusingfasterrcnn |