Fast solar image classification using deep learning and its importance for automation in solar physics
JA Armstrong, L Fletcher - Solar Physics, 2019 - Springer
The volume of data being collected in solar physics has exponentially increased over the
past decade and with the introduction of the Daniel K. Inouye Solar Telescope (DKIST) we …
past decade and with the introduction of the Daniel K. Inouye Solar Telescope (DKIST) we …
Solar-Filament Detection and Classification Based on Deep Learning
X Guo, Y Yang, S Feng, X Bai, B Liang, W Dai - Solar Physics, 2022 - Springer
Solar filaments are distinct strip-like structures observed in chromospheric H α images.
Filament eruptions, flares, and coronal mass ejections (CMEs) can be regarded as the same …
Filament eruptions, flares, and coronal mass ejections (CMEs) can be regarded as the same …
[PDF][PDF] 机器学习在太阳物理中的应用
刘辉， 季凯帆， 金振宇 - 中国科学: 物理学力学天文学, 2019 - researchgate.net
摘要太阳物理研究已经进入大数据时代, 而机器学习作为大数据研究的一种良好工具已经获得越
来越多的认可. 本文评述了自2007 年以来机器学习在太阳物理中的应用. 从结果上看, 最近4 …
来越多的认可. 本文评述了自2007 年以来机器学习在太阳物理中的应用. 从结果上看, 最近4 …
Testing the accuracy of Coimbra astronomical observatory solar filament historical series (1929–1941)
The present work aims to validate the positions of solar filaments published in the Annals of
Coimbra University Astronomical Observatory, currently the Geophysical and Astronomical …
Coimbra University Astronomical Observatory, currently the Geophysical and Astronomical …
A novel method for telescope polarization modeling based on an artificial neural network
JG Peng, S Yuan, KF Ji, Z Xu - Research in Astronomy and …, 2021 - iopscience.iop.org
The polarization characteristics of an astronomical telescope is an important factor that
affects polarimetry accuracy. Polarization modeling is an essential means to achieve high …
affects polarimetry accuracy. Polarization modeling is an essential means to achieve high …