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

Aurora is a very important geophysical phenomenon in the high latitudes of Arctic and Antarctic regions, and it is important to make a comparative study of the auroral morphology between the two hemispheres. Based on the morphological characteristics of the four labeled dayside discrete auroral type...

Full description

Bibliographic Details
Published in:Geoscientific Instrumentation, Methods and Data Systems
Main Authors: Q. Yang, Z.-J. Hu
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2018
Subjects:
Online Access:https://doi.org/10.5194/gi-7-113-2018
https://doaj.org/article/b3f53d769faf46148e92c05747394c26
id ftdoajarticles:oai:doaj.org/article:b3f53d769faf46148e92c05747394c26
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:b3f53d769faf46148e92c05747394c26 2023-05-15T14:00:44+02:00 A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification Q. Yang Z.-J. Hu 2018-03-01T00:00:00Z https://doi.org/10.5194/gi-7-113-2018 https://doaj.org/article/b3f53d769faf46148e92c05747394c26 EN eng Copernicus Publications https://www.geosci-instrum-method-data-syst.net/7/113/2018/gi-7-113-2018.pdf https://doaj.org/toc/2193-0856 https://doaj.org/toc/2193-0864 doi:10.5194/gi-7-113-2018 2193-0856 2193-0864 https://doaj.org/article/b3f53d769faf46148e92c05747394c26 Geoscientific Instrumentation, Methods and Data Systems, Vol 7, Pp 113-122 (2018) Geophysics. Cosmic physics QC801-809 article 2018 ftdoajarticles https://doi.org/10.5194/gi-7-113-2018 2022-12-31T14:05:53Z Aurora is a very important geophysical phenomenon in the high latitudes of Arctic and Antarctic regions, and it is important to make a comparative study of the auroral morphology between the two hemispheres. Based on the morphological characteristics of the four labeled dayside discrete auroral types (auroral arc, drapery corona, radial corona and hot-spot aurora) on the 8001 dayside auroral images at the Chinese Arctic Yellow River Station in 2003, and by extracting the local binary pattern (LBP) features and using a k -nearest classifier, this paper performs an automatic classification of the 65 361 auroral images of the Chinese Arctic Yellow River Station during 2004–2009 and the 39 335 auroral images of the South Pole Station between 2003 and 2005. Finally, it obtains the occurrence distribution of the dayside auroral morphology in the Northern and Southern Hemisphere. The statistical results indicate that the four dayside discrete auroral types present a similar occurrence distribution between the two stations. To the best of our knowledge, we are the first to report statistical comparative results of dayside auroral morphology distribution between the Northern and Southern Hemisphere. Article in Journal/Newspaper Antarc* Antarctic Arctic South pole South pole Directory of Open Access Journals: DOAJ Articles Antarctic Arctic South Pole Geoscientific Instrumentation, Methods and Data Systems 7 1 113 122
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Geophysics. Cosmic physics
QC801-809
spellingShingle Geophysics. Cosmic physics
QC801-809
Q. Yang
Z.-J. Hu
A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification
topic_facet Geophysics. Cosmic physics
QC801-809
description Aurora is a very important geophysical phenomenon in the high latitudes of Arctic and Antarctic regions, and it is important to make a comparative study of the auroral morphology between the two hemispheres. Based on the morphological characteristics of the four labeled dayside discrete auroral types (auroral arc, drapery corona, radial corona and hot-spot aurora) on the 8001 dayside auroral images at the Chinese Arctic Yellow River Station in 2003, and by extracting the local binary pattern (LBP) features and using a k -nearest classifier, this paper performs an automatic classification of the 65 361 auroral images of the Chinese Arctic Yellow River Station during 2004–2009 and the 39 335 auroral images of the South Pole Station between 2003 and 2005. Finally, it obtains the occurrence distribution of the dayside auroral morphology in the Northern and Southern Hemisphere. The statistical results indicate that the four dayside discrete auroral types present a similar occurrence distribution between the two stations. To the best of our knowledge, we are the first to report statistical comparative results of dayside auroral morphology distribution between the Northern and Southern Hemisphere.
format Article in Journal/Newspaper
author Q. Yang
Z.-J. Hu
author_facet Q. Yang
Z.-J. Hu
author_sort Q. Yang
title A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification
title_short A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification
title_full A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification
title_fullStr A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification
title_full_unstemmed A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification
title_sort comparative study of auroral morphology distribution between the northern and southern hemisphere based on automatic classification
publisher Copernicus Publications
publishDate 2018
url https://doi.org/10.5194/gi-7-113-2018
https://doaj.org/article/b3f53d769faf46148e92c05747394c26
geographic Antarctic
Arctic
South Pole
geographic_facet Antarctic
Arctic
South Pole
genre Antarc*
Antarctic
Arctic
South pole
South pole
genre_facet Antarc*
Antarctic
Arctic
South pole
South pole
op_source Geoscientific Instrumentation, Methods and Data Systems, Vol 7, Pp 113-122 (2018)
op_relation https://www.geosci-instrum-method-data-syst.net/7/113/2018/gi-7-113-2018.pdf
https://doaj.org/toc/2193-0856
https://doaj.org/toc/2193-0864
doi:10.5194/gi-7-113-2018
2193-0856
2193-0864
https://doaj.org/article/b3f53d769faf46148e92c05747394c26
op_doi https://doi.org/10.5194/gi-7-113-2018
container_title Geoscientific Instrumentation, Methods and Data Systems
container_volume 7
container_issue 1
container_start_page 113
op_container_end_page 122
_version_ 1766270078386438144