Active testing and edge analysis for road centreline extraction
Autor(a) principal: | |
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Data de Publicação: | 2002 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/228400 |
Resumo: | As in the foreseeable future a human will be expected to remain as part of the object extraction system, semi-automated road extraction methods are still important. Following this trend, this paper presents a semi-automated method for extracting road segments from medium- and high-resolution images based on active testing and edge analysis. The method is based on two sequential and independent stages. Firstly, an active testing method is used to extract an approximated road centreline, which is based on a sequential and local exploitation of the image. Secondly, an iterative strategy based on edge analysis and the approximated centreline is used to measure precisely the road centreline. Based on results obtained using a medium-resolution test image, the method seems to be very promising. In general, the method prove to be very accurate whenever the roads are characterised by two well-defined anti-parallel edges and robust even in the presence of larger obstacles, as e.g. trees and shadows. |
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Repositório Institucional da UNESP |
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2946 |
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Active testing and edge analysis for road centreline extractionEdge analysisMatchingRoad extractionSemi-automationVisionAs in the foreseeable future a human will be expected to remain as part of the object extraction system, semi-automated road extraction methods are still important. Following this trend, this paper presents a semi-automated method for extracting road segments from medium- and high-resolution images based on active testing and edge analysis. The method is based on two sequential and independent stages. Firstly, an active testing method is used to extract an approximated road centreline, which is based on a sequential and local exploitation of the image. Secondly, an iterative strategy based on edge analysis and the approximated centreline is used to measure precisely the road centreline. Based on results obtained using a medium-resolution test image, the method seems to be very promising. In general, the method prove to be very accurate whenever the roads are characterised by two well-defined anti-parallel edges and robust even in the presence of larger obstacles, as e.g. trees and shadows.Dept. of Cartography São Paulo State University, R. Roberto Simonsen 305Dept. of Cartography São Paulo State University, R. Roberto Simonsen 305Universidade Estadual Paulista (UNESP)Dal Poz, A. P. [UNESP]Silva, M. A.O. [UNESP]2022-04-29T08:14:27Z2022-04-29T08:14:27Z2002-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 34.1682-1750http://hdl.handle.net/11449/2284002-s2.0-85030965094Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesinfo:eu-repo/semantics/openAccess2024-06-18T15:02:39Zoai:repositorio.unesp.br:11449/228400Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:05:57.647456Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Active testing and edge analysis for road centreline extraction |
title |
Active testing and edge analysis for road centreline extraction |
spellingShingle |
Active testing and edge analysis for road centreline extraction Dal Poz, A. P. [UNESP] Edge analysis Matching Road extraction Semi-automation Vision |
title_short |
Active testing and edge analysis for road centreline extraction |
title_full |
Active testing and edge analysis for road centreline extraction |
title_fullStr |
Active testing and edge analysis for road centreline extraction |
title_full_unstemmed |
Active testing and edge analysis for road centreline extraction |
title_sort |
Active testing and edge analysis for road centreline extraction |
author |
Dal Poz, A. P. [UNESP] |
author_facet |
Dal Poz, A. P. [UNESP] Silva, M. A.O. [UNESP] |
author_role |
author |
author2 |
Silva, M. A.O. [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Dal Poz, A. P. [UNESP] Silva, M. A.O. [UNESP] |
dc.subject.por.fl_str_mv |
Edge analysis Matching Road extraction Semi-automation Vision |
topic |
Edge analysis Matching Road extraction Semi-automation Vision |
description |
As in the foreseeable future a human will be expected to remain as part of the object extraction system, semi-automated road extraction methods are still important. Following this trend, this paper presents a semi-automated method for extracting road segments from medium- and high-resolution images based on active testing and edge analysis. The method is based on two sequential and independent stages. Firstly, an active testing method is used to extract an approximated road centreline, which is based on a sequential and local exploitation of the image. Secondly, an iterative strategy based on edge analysis and the approximated centreline is used to measure precisely the road centreline. Based on results obtained using a medium-resolution test image, the method seems to be very promising. In general, the method prove to be very accurate whenever the roads are characterised by two well-defined anti-parallel edges and robust even in the presence of larger obstacles, as e.g. trees and shadows. |
publishDate |
2002 |
dc.date.none.fl_str_mv |
2002-01-01 2022-04-29T08:14:27Z 2022-04-29T08:14:27Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 34. 1682-1750 http://hdl.handle.net/11449/228400 2-s2.0-85030965094 |
identifier_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 34. 1682-1750 2-s2.0-85030965094 |
url |
http://hdl.handle.net/11449/228400 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1808129160346861568 |