You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/68969
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDal Poz, Aluir Porfírio-
dc.contributor.authorScalco, Júlio Cesar-
dc.date.accessioned2014-05-27T11:21:54Z-
dc.date.accessioned2016-10-25T18:22:23Z-
dc.date.available2014-05-27T11:21:54Z-
dc.date.available2016-10-25T18:22:23Z-
dc.date.issued2006-07-01-
dc.identifierhttp://ojs.c3sl.ufpr.br/ojs/index.php/bcg/article/view/7235-
dc.identifier.citationBoletim de Ciencias Geodesicas, v. 12, n. 2, p. 295-313, 2006.-
dc.identifier.issn1413-4853-
dc.identifier.urihttp://hdl.handle.net/11449/68969-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/68969-
dc.description.abstractIn 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.en
dc.format.extent295-313-
dc.language.isopor-
dc.sourceScopus-
dc.subjectCBERS image-
dc.subjectDLT-
dc.subjectGround control-
dc.subjectImage-
dc.subjectRoad extraction-
dc.subjectalgorithm-
dc.subjectimage analysis-
dc.subjectpattern recognition-
dc.subjectroad-
dc.titleOrientação semi-automática de imagens CBERS usando rodovias como controle de campopt
dc.title.alternativeSemiautomatic CBERS image orientation using roads as ground controlen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationDepartamento de Cartografia FCT UNESP, Rua Roberto Simonsen 305, 19060-900 Presidente Prudente, SP-
dc.description.affiliationMestrando em Ciências Cartográficas FCT UNESP, Rua Roberto Simonsen 305, 19060-900 Presidente Prudente, SP-
dc.description.affiliationUnespDepartamento de Cartografia FCT UNESP, Rua Roberto Simonsen 305, 19060-900 Presidente Prudente, SP-
dc.description.affiliationUnespMestrando em Ciências Cartográficas FCT UNESP, Rua Roberto Simonsen 305, 19060-900 Presidente Prudente, SP-
dc.rights.accessRightsAcesso aberto-
dc.identifier.file2-s2.0-33847778455.pdf-
dc.relation.ispartofBoletim de Ciências Geodésicas-
dc.identifier.scopus2-s2.0-33847778455-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.