Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques

In this paper we show how the techniques of image deconvolution can increase the ability of image sensors as, for example, CCD imagers, to detect faint stars or faint orbital objects (small satellites and space debris). In the case of faint stars, we show that this benefit is equivalent to double th...

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Detalhes bibliográficos
Autores: Fors, Octavi, Nuñez, Jorge, Otazu, Xavier, Prades Valls, Albert|||0000-0002-0164-1681, Cardinal, Robert D.
Formato: artículo
Fecha de publicación:2010
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/8439
Acesso em linha:https://hdl.handle.net/2117/8439
https://dx.doi.org/10.3390/s100301743
Access Level:acceso abierto
Palavra-chave:Image processing
Space debris
Imatges -- Processament
Residus espacials
Àrees temàtiques de la UPC::Enginyeria civil::Geomàtica
Àrees temàtiques de la UPC::Aeronàutica i espai::Impacte ambiental
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network_acronym_str ES
network_name_str España
repository_id_str
spelling Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniquesFors, OctaviNuñez, JorgeOtazu, XavierPrades Valls, Albert|||0000-0002-0164-1681Cardinal, Robert D.Image processingSpace debrisImatges -- ProcessamentResidus espacialsÀrees temàtiques de la UPC::Enginyeria civil::GeomàticaÀrees temàtiques de la UPC::Aeronàutica i espai::Impacte ambientalIn this paper we show how the techniques of image deconvolution can increase the ability of image sensors as, for example, CCD imagers, to detect faint stars or faint orbital objects (small satellites and space debris). In the case of faint stars, we show that this benefit is equivalent to double the quantum efficiency of the used image sensor or to increase the effective telescope aperture by more than 30% without decreasing the astrometric precision or introducing artificial bias. In the case of orbital objects, the deconvolution technique can double the signal-to-noise ratio of the image, which helps to discover and control dangerous objects as space debris or lost satellites. The benefits obtained using CCD detectors can be extrapolated to any kind of image sensorsPeer Reviewed20102010-03-0120102010-07-28journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/8439https://dx.doi.org/10.3390/s10030174322294896reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/84392026-05-27T15:37:01Z
dc.title.none.fl_str_mv Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques
title Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques
spellingShingle Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques
Fors, Octavi
Image processing
Space debris
Imatges -- Processament
Residus espacials
Àrees temàtiques de la UPC::Enginyeria civil::Geomàtica
Àrees temàtiques de la UPC::Aeronàutica i espai::Impacte ambiental
title_short Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques
title_full Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques
title_fullStr Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques
title_full_unstemmed Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques
title_sort Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques
dc.creator.none.fl_str_mv Fors, Octavi
Nuñez, Jorge
Otazu, Xavier
Prades Valls, Albert|||0000-0002-0164-1681
Cardinal, Robert D.
author Fors, Octavi
author_facet Fors, Octavi
Nuñez, Jorge
Otazu, Xavier
Prades Valls, Albert|||0000-0002-0164-1681
Cardinal, Robert D.
author_role author
author2 Nuñez, Jorge
Otazu, Xavier
Prades Valls, Albert|||0000-0002-0164-1681
Cardinal, Robert D.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Image processing
Space debris
Imatges -- Processament
Residus espacials
Àrees temàtiques de la UPC::Enginyeria civil::Geomàtica
Àrees temàtiques de la UPC::Aeronàutica i espai::Impacte ambiental
topic Image processing
Space debris
Imatges -- Processament
Residus espacials
Àrees temàtiques de la UPC::Enginyeria civil::Geomàtica
Àrees temàtiques de la UPC::Aeronàutica i espai::Impacte ambiental
description In this paper we show how the techniques of image deconvolution can increase the ability of image sensors as, for example, CCD imagers, to detect faint stars or faint orbital objects (small satellites and space debris). In the case of faint stars, we show that this benefit is equivalent to double the quantum efficiency of the used image sensor or to increase the effective telescope aperture by more than 30% without decreasing the astrometric precision or introducing artificial bias. In the case of orbital objects, the deconvolution technique can double the signal-to-noise ratio of the image, which helps to discover and control dangerous objects as space debris or lost satellites. The benefits obtained using CCD detectors can be extrapolated to any kind of image sensors
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-03-01
2010
2010-07-28
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/8439
https://dx.doi.org/10.3390/s100301743
22294896
url https://hdl.handle.net/2117/8439
https://dx.doi.org/10.3390/s100301743
identifier_str_mv 22294896
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869416322401566720
score 15.198674

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