Automatic extraction of road seeds from high-resolution aerial images
Autor(a) principal: | |
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Data de Publicação: | 2005 |
Outros Autores: | , |
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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Anais da Academia Brasileira de Ciências (Online) |
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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 |
_version_ |
1754302856456830976 |