Astronomical image data reduction for moving object detection

Autores
Allekotte, K.; De Cristóforis, P.; Melita, M.; Mejail, M.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work we present a system for autonomous discovery of asteroids, space trash and other moving objects. This system performs astronomical image data reduction based on an image processing pipeline. The processing steps of the pipeline include astrometric and photometric reduction, sequence alignment, moving object detection and astronomical analysis, making the system capable of discovering and monitoring previously unknown moving objects in the night sky. © Springer-Verlag 2013.
Fil:De Cristóforis, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Melita, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fuente
Lect. Notes Comput. Sci. 2013;8259 LNCS(PART 2):116-123
Materia
Astronomical images
Data reduction
Moving object detection
Astronomical images
Image processing pipeline
Moving objects
Moving-object detection
Processing steps
Sequence alignments
Data reduction
Object recognition
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/2.5/ar
Repositorio
Biblioteca Digital (UBA-FCEN)
Institución
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
OAI Identificador
paperaa:paper_03029743_v8259LNCS_nPART2_p116_Allekotte
Acceder
id BDUBAFCEN_809e92046026a7b97c2797f4b6ec4620
oai_identifier_str paperaa:paper_03029743_v8259LNCS_nPART2_p116_Allekotte
network_acronym_str BDUBAFCEN
repository_id_str 1896
network_name_str Biblioteca Digital (UBA-FCEN)
spelling Astronomical image data reduction for moving object detectionAllekotte, K.De Cristóforis, P.Melita, M.Mejail, M.Astronomical imagesData reductionMoving object detectionAstronomical imagesImage processing pipelineMoving objectsMoving-object detectionProcessing stepsSequence alignmentsData reductionObject recognitionIn this work we present a system for autonomous discovery of asteroids, space trash and other moving objects. This system performs astronomical image data reduction based on an image processing pipeline. The processing steps of the pipeline include astrometric and photometric reduction, sequence alignment, moving object detection and astronomical analysis, making the system capable of discovering and monitoring previously unknown moving objects in the night sky. © Springer-Verlag 2013.Fil:De Cristóforis, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Melita, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.2013info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_03029743_v8259LNCS_nPART2_p116_AllekotteLect. Notes Comput. Sci. 2013;8259 LNCS(PART 2):116-123reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-09-29T13:42:52Zpaperaa:paper_03029743_v8259LNCS_nPART2_p116_AllekotteInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-09-29 13:42:53.669Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse
dc.title.none.fl_str_mv Astronomical image data reduction for moving object detection
title Astronomical image data reduction for moving object detection
spellingShingle Astronomical image data reduction for moving object detection
Allekotte, K.
Astronomical images
Data reduction
Moving object detection
Astronomical images
Image processing pipeline
Moving objects
Moving-object detection
Processing steps
Sequence alignments
Data reduction
Object recognition
title_short Astronomical image data reduction for moving object detection
title_full Astronomical image data reduction for moving object detection
title_fullStr Astronomical image data reduction for moving object detection
title_full_unstemmed Astronomical image data reduction for moving object detection
title_sort Astronomical image data reduction for moving object detection
dc.creator.none.fl_str_mv Allekotte, K.
De Cristóforis, P.
Melita, M.
Mejail, M.
author Allekotte, K.
author_facet Allekotte, K.
De Cristóforis, P.
Melita, M.
Mejail, M.
author_role author
author2 De Cristóforis, P.
Melita, M.
Mejail, M.
author2_role author
author
author
dc.subject.none.fl_str_mv Astronomical images
Data reduction
Moving object detection
Astronomical images
Image processing pipeline
Moving objects
Moving-object detection
Processing steps
Sequence alignments
Data reduction
Object recognition
topic Astronomical images
Data reduction
Moving object detection
Astronomical images
Image processing pipeline
Moving objects
Moving-object detection
Processing steps
Sequence alignments
Data reduction
Object recognition
dc.description.none.fl_txt_mv In this work we present a system for autonomous discovery of asteroids, space trash and other moving objects. This system performs astronomical image data reduction based on an image processing pipeline. The processing steps of the pipeline include astrometric and photometric reduction, sequence alignment, moving object detection and astronomical analysis, making the system capable of discovering and monitoring previously unknown moving objects in the night sky. © Springer-Verlag 2013.
Fil:De Cristóforis, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Melita, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
description In this work we present a system for autonomous discovery of asteroids, space trash and other moving objects. This system performs astronomical image data reduction based on an image processing pipeline. The processing steps of the pipeline include astrometric and photometric reduction, sequence alignment, moving object detection and astronomical analysis, making the system capable of discovering and monitoring previously unknown moving objects in the night sky. © Springer-Verlag 2013.
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12110/paper_03029743_v8259LNCS_nPART2_p116_Allekotte
url http://hdl.handle.net/20.500.12110/paper_03029743_v8259LNCS_nPART2_p116_Allekotte
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/2.5/ar
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/ar
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Lect. Notes Comput. Sci. 2013;8259 LNCS(PART 2):116-123
reponame:Biblioteca Digital (UBA-FCEN)
instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
reponame_str Biblioteca Digital (UBA-FCEN)
collection Biblioteca Digital (UBA-FCEN)
instname_str Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron_str UBA-FCEN
institution UBA-FCEN
repository.name.fl_str_mv Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
repository.mail.fl_str_mv ana@bl.fcen.uba.ar
_version_ 1844618734553006080
score 13.070432

Publicaciones similares