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: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/S0001-37652005000300011 http://hdl.handle.net/11449/68383 |
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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Repositório Institucional da UNESP |
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Automatic extraction of road seeds from high-resolution aerial imagesDigital photogrammetryRoad extractionRoad objectsRoad seedsThis 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.Departamento de Cartografia FCT UNESP, Rua Roberto Simonsen, 305, 19060-900 Presidente Prudente, SPAluno de Doutorado do Programa de Pos-Graduacao em Ciencias Cartograficas FCT UNESP, Rua Roberto Simonsen, 305, 19060-900 Presidente Prudente, SPDepartamento de Cartografia FCT UNESP, Rua Roberto Simonsen, 305, 19060-900 Presidente Prudente, SPAluno de Doutorado do Programa de Pos-Graduacao em Ciencias Cartograficas FCT UNESP, Rua Roberto Simonsen, 305, 19060-900 Presidente Prudente, SPUniversidade Estadual Paulista (Unesp)Dal-Poz, Aluir P. [UNESP]Vale, Giovane M.D.O. [UNESP]Zanin, Rodrigo B. [UNESP]2014-05-27T11:21:36Z2014-05-27T11:21:36Z2005-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article509-520application/pdfhttp://dx.doi.org/10.1590/S0001-37652005000300011Anais da Academia Brasileira de Ciencias, v. 77, n. 3, p. 509-520, 2005.0001-3765http://hdl.handle.net/11449/6838310.1590/S0001-37652005000300011S0001-37652005000300011WOS:0002313095000112-s2.0-243444382422-s2.0-24344438242.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAnais da Academia Brasileira de Ciências0.9560,418info:eu-repo/semantics/openAccess2024-06-18T15:01:26Zoai:repositorio.unesp.br:11449/68383Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:57:49.788767Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)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. [UNESP] Digital photogrammetry Road extraction Road objects Road seeds |
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. [UNESP] |
author_facet |
Dal-Poz, Aluir P. [UNESP] Vale, Giovane M.D.O. [UNESP] Zanin, Rodrigo B. [UNESP] |
author_role |
author |
author2 |
Vale, Giovane M.D.O. [UNESP] Zanin, Rodrigo B. [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Dal-Poz, Aluir P. [UNESP] Vale, Giovane M.D.O. [UNESP] Zanin, Rodrigo B. [UNESP] |
dc.subject.por.fl_str_mv |
Digital photogrammetry Road extraction Road objects Road seeds |
topic |
Digital photogrammetry Road extraction Road objects Road seeds |
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 2014-05-27T11:21:36Z 2014-05-27T11:21:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/S0001-37652005000300011 Anais da Academia Brasileira de Ciencias, v. 77, n. 3, p. 509-520, 2005. 0001-3765 http://hdl.handle.net/11449/68383 10.1590/S0001-37652005000300011 S0001-37652005000300011 WOS:000231309500011 2-s2.0-24344438242 2-s2.0-24344438242.pdf |
url |
http://dx.doi.org/10.1590/S0001-37652005000300011 http://hdl.handle.net/11449/68383 |
identifier_str_mv |
Anais da Academia Brasileira de Ciencias, v. 77, n. 3, p. 509-520, 2005. 0001-3765 10.1590/S0001-37652005000300011 S0001-37652005000300011 WOS:000231309500011 2-s2.0-24344438242 2-s2.0-24344438242.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Anais da Academia Brasileira de Ciências 0.956 0,418 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
509-520 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128224518995968 |