Dynamic programming approach for semi-automated road extraction from medium- And high-resolution images
Autor(a) principal: | |
---|---|
Data de Publicação: | 2003 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/228824 |
Resumo: | This paper presents a dynamic programming approach for semi-automated road extraction from medium- and high-resolution images. This method is a modified version of a pre-existent dynamic programming method for road extraction from low-resolution images. The basic assumption of this pre-existent method is that roads manifest as lines in low-resolution images and as such can be modelled and extracted as linear features. Contrary to this, roads manifest as ribbon features in medium- and high-resolution images and the goal of road extraction methods becomes the road centrelines. As a result, the original method can not accurately extract road centrelines from medium- and high- resolution images. In view of this, we propose a modification of merit function of the original approach, which is carried out by a constraint function embedding road edge properties. Preliminary results demonstrate the modified algorithm’s potential in extracting road centrelines from medium- and high-resolution images. |
id |
UNSP_22ffdbfb45ae456ddfc6f5219a7a245b |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/228824 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Dynamic programming approach for semi-automated road extraction from medium- And high-resolution imagesDynamic programmingEdge analysisRoad extractionSemi-automationVisionThis paper presents a dynamic programming approach for semi-automated road extraction from medium- and high-resolution images. This method is a modified version of a pre-existent dynamic programming method for road extraction from low-resolution images. The basic assumption of this pre-existent method is that roads manifest as lines in low-resolution images and as such can be modelled and extracted as linear features. Contrary to this, roads manifest as ribbon features in medium- and high-resolution images and the goal of road extraction methods becomes the road centrelines. As a result, the original method can not accurately extract road centrelines from medium- and high- resolution images. In view of this, we propose a modification of merit function of the original approach, which is carried out by a constraint function embedding road edge properties. Preliminary results demonstrate the modified algorithm’s potential in extracting road centrelines from medium- and high-resolution images.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Dept. of Cartography São Paulo State University, R. Roberto Simonsen 305Dept. of Cartography São Paulo State University, R. Roberto Simonsen 305FAPESP: 01/01168-5Universidade Estadual Paulista (UNESP)Dal Poz, A. P. [UNESP]Do Vale, G. M. [UNESP]2022-04-29T08:28:54Z2022-04-29T08:28:54Z2003-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject87-91International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 34, p. 87-91.1682-1750http://hdl.handle.net/11449/2288242-s2.0-85088409909Scopusreponame: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/openAccess2024-06-18T15:02:08Zoai:repositorio.unesp.br:11449/228824Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:09:17.099471Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Dynamic programming approach for semi-automated road extraction from medium- And high-resolution images |
title |
Dynamic programming approach for semi-automated road extraction from medium- And high-resolution images |
spellingShingle |
Dynamic programming approach for semi-automated road extraction from medium- And high-resolution images Dal Poz, A. P. [UNESP] Dynamic programming Edge analysis Road extraction Semi-automation Vision |
title_short |
Dynamic programming approach for semi-automated road extraction from medium- And high-resolution images |
title_full |
Dynamic programming approach for semi-automated road extraction from medium- And high-resolution images |
title_fullStr |
Dynamic programming approach for semi-automated road extraction from medium- And high-resolution images |
title_full_unstemmed |
Dynamic programming approach for semi-automated road extraction from medium- And high-resolution images |
title_sort |
Dynamic programming approach for semi-automated road extraction from medium- And high-resolution images |
author |
Dal Poz, A. P. [UNESP] |
author_facet |
Dal Poz, A. P. [UNESP] Do Vale, G. M. [UNESP] |
author_role |
author |
author2 |
Do Vale, G. M. [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] Do Vale, G. M. [UNESP] |
dc.subject.por.fl_str_mv |
Dynamic programming Edge analysis Road extraction Semi-automation Vision |
topic |
Dynamic programming Edge analysis Road extraction Semi-automation Vision |
description |
This paper presents a dynamic programming approach for semi-automated road extraction from medium- and high-resolution images. This method is a modified version of a pre-existent dynamic programming method for road extraction from low-resolution images. The basic assumption of this pre-existent method is that roads manifest as lines in low-resolution images and as such can be modelled and extracted as linear features. Contrary to this, roads manifest as ribbon features in medium- and high-resolution images and the goal of road extraction methods becomes the road centrelines. As a result, the original method can not accurately extract road centrelines from medium- and high- resolution images. In view of this, we propose a modification of merit function of the original approach, which is carried out by a constraint function embedding road edge properties. Preliminary results demonstrate the modified algorithm’s potential in extracting road centrelines from medium- and high-resolution images. |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003-01-01 2022-04-29T08:28:54Z 2022-04-29T08:28:54Z |
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, p. 87-91. 1682-1750 http://hdl.handle.net/11449/228824 2-s2.0-85088409909 |
identifier_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 34, p. 87-91. 1682-1750 2-s2.0-85088409909 |
url |
http://hdl.handle.net/11449/228824 |
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.format.none.fl_str_mv |
87-91 |
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_ |
1808128469351006208 |