Orientação semi-automática de imagens CBERS usando rodovias como controle de campo

Detalhes bibliográficos
Autor(a) principal: Dal Poz, Aluir Porfírio [UNESP]
Data de Publicação: 2006
Outros Autores: Scalco, Júlio Cesar [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://ojs.c3sl.ufpr.br/ojs/index.php/bcg/article/view/7235
http://hdl.handle.net/11449/68969
Resumo: In this paper is proposed a methodology for semiautomatic CBERS image orientation using roads as ground control. It is based on an iterative strategy involving three steps. In the first step, an operator identifies on the image the ground control roads and supplies along them a few seed points, which could be sparsely and coarsely distributed. These seed points are used by the dynamic programming algorithm for extracting the ground control roads from the image. In the second step, it is established the correspondences between points describing the ground control roads and the corresponding ones extracted from the image. In the last step, the corresponding points are used to orient the CBERS image by using the DLT (Direct Linear Transformation). The two last steps are iterated until the convergence of the orientation process is verified. Experimental results showed that the proposed methodology was efficient with several test images. In all cases the orientation process converged. Moreover, the estimated orientation parameters allowed the registration of check roads with pixel accuracy or better.
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spelling Orientação semi-automática de imagens CBERS usando rodovias como controle de campoSemiautomatic CBERS image orientation using roads as ground controlCBERS imageDLTGround controlImageRoad extractionalgorithmimage analysispattern recognitionroadIn this paper is proposed a methodology for semiautomatic CBERS image orientation using roads as ground control. It is based on an iterative strategy involving three steps. In the first step, an operator identifies on the image the ground control roads and supplies along them a few seed points, which could be sparsely and coarsely distributed. These seed points are used by the dynamic programming algorithm for extracting the ground control roads from the image. In the second step, it is established the correspondences between points describing the ground control roads and the corresponding ones extracted from the image. In the last step, the corresponding points are used to orient the CBERS image by using the DLT (Direct Linear Transformation). The two last steps are iterated until the convergence of the orientation process is verified. Experimental results showed that the proposed methodology was efficient with several test images. In all cases the orientation process converged. Moreover, the estimated orientation parameters allowed the registration of check roads with pixel accuracy or better.Departamento de Cartografia FCT UNESP, Rua Roberto Simonsen 305, 19060-900 Presidente Prudente, SPMestrando em Ciências Cartográficas FCT UNESP, Rua Roberto Simonsen 305, 19060-900 Presidente Prudente, SPDepartamento de Cartografia FCT UNESP, Rua Roberto Simonsen 305, 19060-900 Presidente Prudente, SPMestrando em Ciências Cartográficas FCT UNESP, Rua Roberto Simonsen 305, 19060-900 Presidente Prudente, SPUniversidade Estadual Paulista (Unesp)Dal Poz, Aluir Porfírio [UNESP]Scalco, Júlio Cesar [UNESP]2014-05-27T11:21:54Z2014-05-27T11:21:54Z2006-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article295-313application/pdfhttp://ojs.c3sl.ufpr.br/ojs/index.php/bcg/article/view/7235Boletim de Ciencias Geodesicas, v. 12, n. 2, p. 295-313, 2006.1413-4853http://hdl.handle.net/11449/689692-s2.0-338477784552-s2.0-33847778455.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporBoletim de Ciências Geodésicas0,188info:eu-repo/semantics/openAccess2024-06-18T15:01:39Zoai:repositorio.unesp.br:11449/68969Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:08:07.411954Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Orientação semi-automática de imagens CBERS usando rodovias como controle de campo
Semiautomatic CBERS image orientation using roads as ground control
title Orientação semi-automática de imagens CBERS usando rodovias como controle de campo
spellingShingle Orientação semi-automática de imagens CBERS usando rodovias como controle de campo
Dal Poz, Aluir Porfírio [UNESP]
CBERS image
DLT
Ground control
Image
Road extraction
algorithm
image analysis
pattern recognition
road
title_short Orientação semi-automática de imagens CBERS usando rodovias como controle de campo
title_full Orientação semi-automática de imagens CBERS usando rodovias como controle de campo
title_fullStr Orientação semi-automática de imagens CBERS usando rodovias como controle de campo
title_full_unstemmed Orientação semi-automática de imagens CBERS usando rodovias como controle de campo
title_sort Orientação semi-automática de imagens CBERS usando rodovias como controle de campo
author Dal Poz, Aluir Porfírio [UNESP]
author_facet Dal Poz, Aluir Porfírio [UNESP]
Scalco, Júlio Cesar [UNESP]
author_role author
author2 Scalco, Júlio Cesar [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Dal Poz, Aluir Porfírio [UNESP]
Scalco, Júlio Cesar [UNESP]
dc.subject.por.fl_str_mv CBERS image
DLT
Ground control
Image
Road extraction
algorithm
image analysis
pattern recognition
road
topic CBERS image
DLT
Ground control
Image
Road extraction
algorithm
image analysis
pattern recognition
road
description In this paper is proposed a methodology for semiautomatic CBERS image orientation using roads as ground control. It is based on an iterative strategy involving three steps. In the first step, an operator identifies on the image the ground control roads and supplies along them a few seed points, which could be sparsely and coarsely distributed. These seed points are used by the dynamic programming algorithm for extracting the ground control roads from the image. In the second step, it is established the correspondences between points describing the ground control roads and the corresponding ones extracted from the image. In the last step, the corresponding points are used to orient the CBERS image by using the DLT (Direct Linear Transformation). The two last steps are iterated until the convergence of the orientation process is verified. Experimental results showed that the proposed methodology was efficient with several test images. In all cases the orientation process converged. Moreover, the estimated orientation parameters allowed the registration of check roads with pixel accuracy or better.
publishDate 2006
dc.date.none.fl_str_mv 2006-07-01
2014-05-27T11:21:54Z
2014-05-27T11:21:54Z
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://ojs.c3sl.ufpr.br/ojs/index.php/bcg/article/view/7235
Boletim de Ciencias Geodesicas, v. 12, n. 2, p. 295-313, 2006.
1413-4853
http://hdl.handle.net/11449/68969
2-s2.0-33847778455
2-s2.0-33847778455.pdf
url http://ojs.c3sl.ufpr.br/ojs/index.php/bcg/article/view/7235
http://hdl.handle.net/11449/68969
identifier_str_mv Boletim de Ciencias Geodesicas, v. 12, n. 2, p. 295-313, 2006.
1413-4853
2-s2.0-33847778455
2-s2.0-33847778455.pdf
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Boletim de Ciências Geodésicas
0,188
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 295-313
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
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