Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Moradi, Shadi | |
dc.contributor.author | Lee, Jong Kwan | |
dc.contributor.author | Tian, Qing | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2021-09-01T06:11:06Z | |
dc.date.available | 2021-09-01T06:11:06Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | WSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 227-236. | en |
dc.identifier.isbn | 978-80-86943-34-3 | |
dc.identifier.issn | 2464-4617 | |
dc.identifier.issn | 2464–4625(CD/DVD) | |
dc.identifier.uri | http://hdl.handle.net/11025/45028 | |
dc.format | 10 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | cs |
dc.rights | © Václav Skala - UNION Agency | cs |
dc.subject | konvoluční neuronová síť | cs |
dc.subject | U-Net | cs |
dc.subject | segmentace | cs |
dc.subject | aplikace solární fyziky | cs |
dc.title | Exploration of U-Net in Automated Solar Coronal Loop Segmentation | en |
dc.type | conferenceObject | en |
dc.type | konferenční příspěvek | cs |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.description.abstract-translated | This paper presents a deep convolutional neural network (CNN) based method that automatically segments arc-like structures of coronal loops from the intensity images of Sun’s corona. The method explores multiple U-Netarchitecture variants which enable segmentation of coronal loop structures of active regions from NASA’s SolarDynamic Observatory (SDO) imagery. The effectiveness of the method is evaluated through experiments on bothsynthetic and real images, and the results show that the method segments the coronal loop structures accurately. | en |
dc.subject.translated | convolutional neural network | en |
dc.subject.translated | U-Net | en |
dc.subject.translated | segmentation | en |
dc.subject.translated | Solar Physics Application | en |
dc.identifier.doi | https://doi.org/10.24132/CSRN.2021.3101.25 | |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | WSCG 2021: Full Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
J07.pdf | Plný text | 5,81 MB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/45028
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