Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 7, issue 1
Articles | Volume 7, issue 1
https://doi.org/10.5194/gi-7-113-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-7-113-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 1
Research article
 | 
20 Mar 2018
Research article |  | 20 Mar 2018

A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification

Qiuju Yang and Ze-Jun Hu

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Latest update: 29 Oct 2025
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Short summary
Based on the morphological characteristics of the four dayside auroral types on images at the Chinese Arctic Yellow River Station (YRS), and by extracting the local binary pattern features and using k-nearest classifier, we make an automatic classification to the auroral images of the YRS and the South Pole Station and obtain the occurrence distribution of the dayside aurora morphology. The results indicate that these auroral types present similar occurrence distributions in the two stations.
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