Detection and tracking of coronal mass ejections based on supervised segmentation and level set

Coronal mass ejection (CME) events refer to the appearance of a new, discrete, white-light feature (with outward velocity) in a coronagraph. The huge amount of data provided by the pertinent instruments onboard the Solar and Heliospheric Observatory (SOHO) and, most recently, the Solar Terrestrial R...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Mejail, Marta Estela, Stenborg, Guillermo Adrián
Publicado:	2010
Materias:	Coronal mass ejections Level sets Supervised segmentation Texture Co-occurrence-matrix Coronal mass ejection Detection and tracking Level Set Level set implementation Motion equations Novel methods Region competition Solar and heliospheric observatories Solar-terrestrial relations Texture information White light Boundary layer flow Buildings Competition Equations of motion Observatories Textures Level measurement
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v31_n6_p496_Goussies http://hdl.handle.net/20.500.12110/paper_01678655_v31_n6_p496_Goussies
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_01678655_v31_n6_p496_Goussies
record_format	dspace
spelling	paper:paper_01678655_v31_n6_p496_Goussies2023-06-08T15:16:59Z Detection and tracking of coronal mass ejections based on supervised segmentation and level set Mejail, Marta Estela Stenborg, Guillermo Adrián Coronal mass ejections Level sets Supervised segmentation Texture Co-occurrence-matrix Coronal mass ejection Detection and tracking Level Set Level set implementation Motion equations Novel methods Region competition Solar and heliospheric observatories Solar-terrestrial relations Supervised segmentation Texture information White light Boundary layer flow Buildings Competition Equations of motion Observatories Textures Level measurement Coronal mass ejection (CME) events refer to the appearance of a new, discrete, white-light feature (with outward velocity) in a coronagraph. The huge amount of data provided by the pertinent instruments onboard the Solar and Heliospheric Observatory (SOHO) and, most recently, the Solar Terrestrial Relations Observatory (STEREO) makes the human-based detection of such events excessively time consuming. Although several algorithms have been proposed to address this issue, there is still lack of universal consensus about their reliability. This work presents a novel method for the detection and tracking of CMEs as recorded by the LASCO instruments onboard SOHO. The algorithm we developed is based on level set and region competition methods, the CMEs texture being characterized by their co-occurrence matrix. The texture information is introduced in the region competition motion equations, and in order to evolve the curve, a fast level set implementation is used. © 2009 Elsevier B.V. All rights reserved. Fil:Mejail, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Stenborg, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v31_n6_p496_Goussies http://hdl.handle.net/20.500.12110/paper_01678655_v31_n6_p496_Goussies
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Coronal mass ejections Level sets Supervised segmentation Texture Co-occurrence-matrix Coronal mass ejection Detection and tracking Level Set Level set implementation Motion equations Novel methods Region competition Solar and heliospheric observatories Solar-terrestrial relations Supervised segmentation Texture information White light Boundary layer flow Buildings Competition Equations of motion Observatories Textures Level measurement
spellingShingle	Coronal mass ejections Level sets Supervised segmentation Texture Co-occurrence-matrix Coronal mass ejection Detection and tracking Level Set Level set implementation Motion equations Novel methods Region competition Solar and heliospheric observatories Solar-terrestrial relations Supervised segmentation Texture information White light Boundary layer flow Buildings Competition Equations of motion Observatories Textures Level measurement Mejail, Marta Estela Stenborg, Guillermo Adrián Detection and tracking of coronal mass ejections based on supervised segmentation and level set
topic_facet	Coronal mass ejections Level sets Supervised segmentation Texture Co-occurrence-matrix Coronal mass ejection Detection and tracking Level Set Level set implementation Motion equations Novel methods Region competition Solar and heliospheric observatories Solar-terrestrial relations Supervised segmentation Texture information White light Boundary layer flow Buildings Competition Equations of motion Observatories Textures Level measurement
description	Coronal mass ejection (CME) events refer to the appearance of a new, discrete, white-light feature (with outward velocity) in a coronagraph. The huge amount of data provided by the pertinent instruments onboard the Solar and Heliospheric Observatory (SOHO) and, most recently, the Solar Terrestrial Relations Observatory (STEREO) makes the human-based detection of such events excessively time consuming. Although several algorithms have been proposed to address this issue, there is still lack of universal consensus about their reliability. This work presents a novel method for the detection and tracking of CMEs as recorded by the LASCO instruments onboard SOHO. The algorithm we developed is based on level set and region competition methods, the CMEs texture being characterized by their co-occurrence matrix. The texture information is introduced in the region competition motion equations, and in order to evolve the curve, a fast level set implementation is used. © 2009 Elsevier B.V. All rights reserved.
author	Mejail, Marta Estela Stenborg, Guillermo Adrián
author_facet	Mejail, Marta Estela Stenborg, Guillermo Adrián
author_sort	Mejail, Marta Estela
title	Detection and tracking of coronal mass ejections based on supervised segmentation and level set
title_short	Detection and tracking of coronal mass ejections based on supervised segmentation and level set
title_full	Detection and tracking of coronal mass ejections based on supervised segmentation and level set
title_fullStr	Detection and tracking of coronal mass ejections based on supervised segmentation and level set
title_full_unstemmed	Detection and tracking of coronal mass ejections based on supervised segmentation and level set
title_sort	detection and tracking of coronal mass ejections based on supervised segmentation and level set
publishDate	2010
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v31_n6_p496_Goussies http://hdl.handle.net/20.500.12110/paper_01678655_v31_n6_p496_Goussies
work_keys_str_mv	AT mejailmartaestela detectionandtrackingofcoronalmassejectionsbasedonsupervisedsegmentationandlevelset AT stenborgguillermoadrian detectionandtrackingofcoronalmassejectionsbasedonsupervisedsegmentationandlevelset
_version_	1768543365768413184

Detection and tracking of coronal mass ejections based on supervised segmentation and level set

Ejemplares similares