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...

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Published in:Geoscientific Instrumentation, Methods and Data Systems
Main Authors: Yang, Qiuju, Hu, Ze-Jun
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2018
Subjects:
Online Access:https://doi.org/10.5194/gi-7-113-2018
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00006977 2023-05-15T13:34:49+02:00 A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification Yang, Qiuju Hu, Ze-Jun 2018-03 electronic https://doi.org/10.5194/gi-7-113-2018 https://noa.gwlb.de/receive/cop_mods_00006977 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006934/gi-7-113-2018.pdf https://gi.copernicus.org/articles/7/113/2018/gi-7-113-2018.pdf eng eng Copernicus Publications Geoscientific Instrumentation, Methods and Data Systems -- Geosci. Instrum. Meth. Data Syst. -- http://www.geoscientific-instrumentation-methods-and-data-systems.net/home.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2690575 -- 2193-0864 https://doi.org/10.5194/gi-7-113-2018 https://noa.gwlb.de/receive/cop_mods_00006977 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006934/gi-7-113-2018.pdf https://gi.copernicus.org/articles/7/113/2018/gi-7-113-2018.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2018 ftnonlinearchiv https://doi.org/10.5194/gi-7-113-2018 2022-02-08T22:58:46Z 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 Niedersächsisches Online-Archiv NOA Antarctic Arctic South Pole Geoscientific Instrumentation, Methods and Data Systems 7 1 113 122
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Yang, Qiuju
Hu, Ze-Jun
A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification
topic_facet article
Verlagsveröffentlichung
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 Yang, Qiuju
Hu, Ze-Jun
author_facet Yang, Qiuju
Hu, Ze-Jun
author_sort Yang, Qiuju
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://noa.gwlb.de/receive/cop_mods_00006977
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006934/gi-7-113-2018.pdf
https://gi.copernicus.org/articles/7/113/2018/gi-7-113-2018.pdf
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_relation Geoscientific Instrumentation, Methods and Data Systems -- Geosci. Instrum. Meth. Data Syst. -- http://www.geoscientific-instrumentation-methods-and-data-systems.net/home.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2690575 -- 2193-0864
https://doi.org/10.5194/gi-7-113-2018
https://noa.gwlb.de/receive/cop_mods_00006977
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006934/gi-7-113-2018.pdf
https://gi.copernicus.org/articles/7/113/2018/gi-7-113-2018.pdf
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op_doi https://doi.org/10.5194/gi-7-113-2018
container_title Geoscientific Instrumentation, Methods and Data Systems
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