Aerial image acquisition and processing for remote sensing

Autores
Manera, José F.; Rodríguez, Lucas; Delrieux, Claudio; Coppo, Ricardo
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
UAV (Unmanned Airborne Vehicle) high resolution digital image acquisition systems based on small format cameras provide a versatile alternative to the solution of environmental monitoring and remote sensing problems. Through digital image processing these small format optical and multi-spectral camera images can obtain orthomosaics that meet quality standards at a fraction of the cost of traditional heavier manned vehicle equipment. They also have higher availability, resolution and flexibility can also be obtained when compared to satellite images. This paper presents research and development undertaken to produce a computational system that can automatically process optical and multi-spectral images obtained from digital cameras mounted on a UAV aircraft. The system acquires, rectifies, mosaics and georeferences these images with minimum operator assistance. Results prove that the process can almost be fully automated and that the system can be operated by minimally trained personnel. Processed images obtained by the software can be used for pattern recognition, photo interpretation, photogrammetry, and other remote sensing applications.
Facultad de Informática
Materia
Ciencias Informáticas
imagen digital
UAV aircraft
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/9676
Acceder
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network_name_str SEDICI (UNLP)
spelling Aerial image acquisition and processing for remote sensingManera, José F.Rodríguez, LucasDelrieux, ClaudioCoppo, RicardoCiencias Informáticasimagen digitalUAV aircraftUAV (Unmanned Airborne Vehicle) high resolution digital image acquisition systems based on small format cameras provide a versatile alternative to the solution of environmental monitoring and remote sensing problems. Through digital image processing these small format optical and multi-spectral camera images can obtain orthomosaics that meet quality standards at a fraction of the cost of traditional heavier manned vehicle equipment. They also have higher availability, resolution and flexibility can also be obtained when compared to satellite images. This paper presents research and development undertaken to produce a computational system that can automatically process optical and multi-spectral images obtained from digital cameras mounted on a UAV aircraft. The system acquires, rectifies, mosaics and georeferences these images with minimum operator assistance. Results prove that the process can almost be fully automated and that the system can be operated by minimally trained personnel. Processed images obtained by the software can be used for pattern recognition, photo interpretation, photogrammetry, and other remote sensing applications.Facultad de Informática2010-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf97-103http://sedici.unlp.edu.ar/handle/10915/9676enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Jun10-9.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:32:22Zoai:sedici.unlp.edu.ar:10915/9676Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:32:22.412SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Aerial image acquisition and processing for remote sensing
title Aerial image acquisition and processing for remote sensing
spellingShingle Aerial image acquisition and processing for remote sensing
Manera, José F.
Ciencias Informáticas
imagen digital
UAV aircraft
title_short Aerial image acquisition and processing for remote sensing
title_full Aerial image acquisition and processing for remote sensing
title_fullStr Aerial image acquisition and processing for remote sensing
title_full_unstemmed Aerial image acquisition and processing for remote sensing
title_sort Aerial image acquisition and processing for remote sensing
dc.creator.none.fl_str_mv Manera, José F.
Rodríguez, Lucas
Delrieux, Claudio
Coppo, Ricardo
author Manera, José F.
author_facet Manera, José F.
Rodríguez, Lucas
Delrieux, Claudio
Coppo, Ricardo
author_role author
author2 Rodríguez, Lucas
Delrieux, Claudio
Coppo, Ricardo
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
imagen digital
UAV aircraft
topic Ciencias Informáticas
imagen digital
UAV aircraft
dc.description.none.fl_txt_mv UAV (Unmanned Airborne Vehicle) high resolution digital image acquisition systems based on small format cameras provide a versatile alternative to the solution of environmental monitoring and remote sensing problems. Through digital image processing these small format optical and multi-spectral camera images can obtain orthomosaics that meet quality standards at a fraction of the cost of traditional heavier manned vehicle equipment. They also have higher availability, resolution and flexibility can also be obtained when compared to satellite images. This paper presents research and development undertaken to produce a computational system that can automatically process optical and multi-spectral images obtained from digital cameras mounted on a UAV aircraft. The system acquires, rectifies, mosaics and georeferences these images with minimum operator assistance. Results prove that the process can almost be fully automated and that the system can be operated by minimally trained personnel. Processed images obtained by the software can be used for pattern recognition, photo interpretation, photogrammetry, and other remote sensing applications.
Facultad de Informática
description UAV (Unmanned Airborne Vehicle) high resolution digital image acquisition systems based on small format cameras provide a versatile alternative to the solution of environmental monitoring and remote sensing problems. Through digital image processing these small format optical and multi-spectral camera images can obtain orthomosaics that meet quality standards at a fraction of the cost of traditional heavier manned vehicle equipment. They also have higher availability, resolution and flexibility can also be obtained when compared to satellite images. This paper presents research and development undertaken to produce a computational system that can automatically process optical and multi-spectral images obtained from digital cameras mounted on a UAV aircraft. The system acquires, rectifies, mosaics and georeferences these images with minimum operator assistance. Results prove that the process can almost be fully automated and that the system can be operated by minimally trained personnel. Processed images obtained by the software can be used for pattern recognition, photo interpretation, photogrammetry, and other remote sensing applications.
publishDate 2010
dc.date.none.fl_str_mv 2010-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/9676
url http://sedici.unlp.edu.ar/handle/10915/9676
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Jun10-9.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
97-103
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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