Representation and Classification of Auroral Images Based on Convolutional Neural Networks

Representation and Classification of Auroral Images Based on Convolutional Neural Networks

Auroral forms are correlated with certain physical processes in the magnetosphere and ionosphere. It is, therefore, desirable to automatically classify the vast amount of observed auroral images and make large statistical studies. The key problem in classification tasks is image representation. In t...

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Bibliographic Details
Main Authors: Qiuju Yang, Penghui Zhou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Auroral image classification
convolutional neural network (CNN)
large margin Softmax (L-Softmax) loss function
spatial transformer network (STN)
Online Access:https://ieeexplore.ieee.org/document/8970288/

Internet

https://ieeexplore.ieee.org/document/8970288/

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