Automatic extraction of road seeds from high-resolution aerial images

Detalhes bibliográficos
Autor(a) principal: Dal-Poz,Aluir P.
Data de Publicação: 2005
Outros Autores: Do Vale,Giovane M., Zanin,Rodrigo B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652005000300011
Resumo: This article presents an automatic methodology for extraction of road seeds from high-resolution aerial images. The method is based on a set of four road objects and another set of connection rules among road objects. Each road object is a local representation of an approximately straight road fragment and its construction is based on a combination of polygons describing all relevant image edges, according to some rules embodying road knowledge. Each one of the road seeds is composed by a sequence of connected road objects, in which each sequence of this type can be geometrically structured as a chain of contiguous quadrilaterals. Experiments carried out with high-resolution aerial images showed that the proposed methodology is very promising in extracting road seeds. This article presents the fundamentals of the method and the experimental results, as well.
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spelling Automatic extraction of road seeds from high-resolution aerial imagesroad extractionroad objectsroad seedsdigital photogrammetryThis article presents an automatic methodology for extraction of road seeds from high-resolution aerial images. The method is based on a set of four road objects and another set of connection rules among road objects. Each road object is a local representation of an approximately straight road fragment and its construction is based on a combination of polygons describing all relevant image edges, according to some rules embodying road knowledge. Each one of the road seeds is composed by a sequence of connected road objects, in which each sequence of this type can be geometrically structured as a chain of contiguous quadrilaterals. Experiments carried out with high-resolution aerial images showed that the proposed methodology is very promising in extracting road seeds. This article presents the fundamentals of the method and the experimental results, as well.Academia Brasileira de Ciências2005-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652005000300011Anais da Academia Brasileira de Ciências v.77 n.3 2005reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/S0001-37652005000300011info:eu-repo/semantics/openAccessDal-Poz,Aluir P.Do Vale,Giovane M.Zanin,Rodrigo B.eng2005-08-24T00:00:00Zoai:scielo:S0001-37652005000300011Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2005-08-24T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Automatic extraction of road seeds from high-resolution aerial images
title Automatic extraction of road seeds from high-resolution aerial images
spellingShingle Automatic extraction of road seeds from high-resolution aerial images
Dal-Poz,Aluir P.
road extraction
road objects
road seeds
digital photogrammetry
title_short Automatic extraction of road seeds from high-resolution aerial images
title_full Automatic extraction of road seeds from high-resolution aerial images
title_fullStr Automatic extraction of road seeds from high-resolution aerial images
title_full_unstemmed Automatic extraction of road seeds from high-resolution aerial images
title_sort Automatic extraction of road seeds from high-resolution aerial images
author Dal-Poz,Aluir P.
author_facet Dal-Poz,Aluir P.
Do Vale,Giovane M.
Zanin,Rodrigo B.
author_role author
author2 Do Vale,Giovane M.
Zanin,Rodrigo B.
author2_role author
author
dc.contributor.author.fl_str_mv Dal-Poz,Aluir P.
Do Vale,Giovane M.
Zanin,Rodrigo B.
dc.subject.por.fl_str_mv road extraction
road objects
road seeds
digital photogrammetry
topic road extraction
road objects
road seeds
digital photogrammetry
description This article presents an automatic methodology for extraction of road seeds from high-resolution aerial images. The method is based on a set of four road objects and another set of connection rules among road objects. Each road object is a local representation of an approximately straight road fragment and its construction is based on a combination of polygons describing all relevant image edges, according to some rules embodying road knowledge. Each one of the road seeds is composed by a sequence of connected road objects, in which each sequence of this type can be geometrically structured as a chain of contiguous quadrilaterals. Experiments carried out with high-resolution aerial images showed that the proposed methodology is very promising in extracting road seeds. This article presents the fundamentals of the method and the experimental results, as well.
publishDate 2005
dc.date.none.fl_str_mv 2005-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652005000300011
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652005000300011
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0001-37652005000300011
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.77 n.3 2005
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
instacron_str ABC
institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
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