Stokes inversion based on convolutional neural networks

被引：0
|
作者：
Asensio Ramos, A. [1 ,2 ]
Díaz Baso, C.J. [3 ]
机构：
[1] Instituto de Astrofísica de Canarias, C/Vía Láctea s/n, La Laguna, Tenerife,38205, Spain
[2] Departamento de Astrofísica, Universidad de la Laguna, La Laguna, Tenerife,38206, Spain
[3] Institute for Solar Physics, Dept. of Astronomy, Stockholm University, AlbaNova University Centre, Stockholm,10691, Sweden
来源：
Astronomy and Astrophysics | 2019年 / 626卷
关键词：
57;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Stokes inversion based on convolutional neural networks
    Asensio Ramos, A.
    Baso, C. J. Diaz
    ASTRONOMY & ASTROPHYSICS, 2019, 626
  • [2] Inversion of stokes profiles with artificial neural networks
    Carroll, TA
    Balthasar, H
    Muglach, K
    Nickelt, I
    ADVANCED SOLAR POLARIMETRY: THEORY, OBSERVATION, AND INSTRUMENTA TION, 2001, 236 : 511 - 519
  • [3] The inversion of Stokes profiles with artificial neural networks
    Carroll, TA
    Staude, J
    ASTRONOMY & ASTROPHYSICS, 2001, 378 (01) : 316 - 326
  • [4] Convolutional Neural Networks and Stokes Response Functions
    Centeno, Rebecca
    Flyer, Natasha
    Mukherjee, Lipi
    Egeland, Ricky
    Casini, Roberto
    Aleman, Tanausu del Pino
    Rempel, Matthias
    ASTROPHYSICAL JOURNAL, 2022, 925 (02):
  • [5] Deep learning electromagnetic inversion with convolutional neural networks
    Puzyrev, Vladimir
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2019, 218 (02) : 817 - 832
  • [6] The Face Inversion Effect in Deep Convolutional Neural Networks
    Tian, Fang
    Xie, Hailun
    Song, Yiying
    Hu, Siyuan
    Liu, Jia
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2022, 16
  • [7] Magnetotelluric inversion based on convolutional neural network
    Liao X.
    Zhang Z.
    Yao Y.
    Lu R.
    Fan X.
    Cao Y.
    Feng T.
    Shi Z.
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2020, 51 (09): : 2546 - 2557
  • [8] Micro motion parameter inversion of spatial cone target based on Convolutional Neural Networks
    Li Bo
    Ren Hongmei
    Xiao Zhihe
    SEVENTH ASIA PACIFIC CONFERENCE ON OPTICS MANUFACTURE (APCOM 2021), 2022, 12166
  • [9] Multiscale Dilated Convolutional Neural Networks for Transient Electromagnetic Inversion
    Cheng, Kai
    Yang, Xiaodong
    Wu, Xiaoping
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62
  • [10] Understading Image Restoration Convolutional Neural Networks with Network Inversion
    Protas, Eglen
    Bratti, Jose
    Gaya, Joel
    Drews, Paulo, Jr.
    Botelho, Silvia
    2017 16TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), 2017, : 215 - 220
12345