Integrating neural networks and correlation for identifying targeted control points

Detalhes bibliográficos
Autor(a) principal: WANDRESEN, ROMUALDO
Data de Publicação: 2005
Outros Autores: DE ANDRADE, JOSÉ BITTENCOURT, MITISHITA, EDSON APARECIDO
Tipo de documento: Artigo
Idioma: por
Título da fonte: Boletim de Ciências Geodésicas
Texto Completo: https://revistas.ufpr.br/bcg/article/view/4394
Resumo: The main goal of this work is to present new tools for automated identification of photographic images of ground targets for aerophotogrametry applications such as aerotriangulation. The identification of the targeted control points images was done by using the concepts of statistical correlation, artificial neural networks and mathematic morphology with emphasis on binary erosion. It was established procedures for identifying automatically common points in a pair of photographs. With the purpose of verifying the consistency of the identified points a fotogrammetric model of the test area was mounted.
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spelling Integrating neural networks and correlation for identifying targeted control pointsINTEGRAÇÃO ENTRE REDES NEURAIS E CORRELAÇÃO PARA A IDENTIFICAÇÃO DE PONTOS DE APOIO PRÉ-SINALIZADOSredes neurais artificiais; correlação estatística; pontos pré-sinalizados; identificação automática; morfologia matemática; artificial neural networks, statistical correlation; target; automatic identification; mathematical morphologyThe main goal of this work is to present new tools for automated identification of photographic images of ground targets for aerophotogrametry applications such as aerotriangulation. The identification of the targeted control points images was done by using the concepts of statistical correlation, artificial neural networks and mathematic morphology with emphasis on binary erosion. It was established procedures for identifying automatically common points in a pair of photographs. With the purpose of verifying the consistency of the identified points a fotogrammetric model of the test area was mounted.O objetivo principal deste trabalho é apresentar novas opções para a identificação de pontos pré-sinalizados para as aplicações relativas à fotogrametria, tal como fototriangulação. A identificação automática desses pontos de apoio foi possível com o uso do conceito de correlação estatística, redes neurais artificiais e morfologia matemática. Da morfologia matemática foi utilizada a erosão binária. Isto permitiu codificar procedimentos para identificar automaticamente pontos de apoio pré-sinalizados em um par de aerofotos. Com a finalidade de verificar a consistência dos pontos identificados, realizou-se a orientação interior e a formação do modelo fotogramétrico, isto é, a orientação exterior de um par de aerofotos da área de testes.Boletim de Ciências GeodésicasBulletin of Geodetic Sciences2005-12-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/4394Boletim de Ciências Geodésicas; Vol 11, No 2 (2005)Bulletin of Geodetic Sciences; Vol 11, No 2 (2005)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRporhttps://revistas.ufpr.br/bcg/article/view/4394/3459WANDRESEN, ROMUALDODE ANDRADE, JOSÉ BITTENCOURTMITISHITA, EDSON APARECIDOinfo:eu-repo/semantics/openAccess2006-01-25T13:30:06Zoai:revistas.ufpr.br:article/4394Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2006-01-25T13:30:06Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false
dc.title.none.fl_str_mv Integrating neural networks and correlation for identifying targeted control points
INTEGRAÇÃO ENTRE REDES NEURAIS E CORRELAÇÃO PARA A IDENTIFICAÇÃO DE PONTOS DE APOIO PRÉ-SINALIZADOS
title Integrating neural networks and correlation for identifying targeted control points
spellingShingle Integrating neural networks and correlation for identifying targeted control points
WANDRESEN, ROMUALDO
redes neurais artificiais; correlação estatística; pontos pré-sinalizados; identificação automática; morfologia matemática; artificial neural networks, statistical correlation; target; automatic identification; mathematical morphology
title_short Integrating neural networks and correlation for identifying targeted control points
title_full Integrating neural networks and correlation for identifying targeted control points
title_fullStr Integrating neural networks and correlation for identifying targeted control points
title_full_unstemmed Integrating neural networks and correlation for identifying targeted control points
title_sort Integrating neural networks and correlation for identifying targeted control points
author WANDRESEN, ROMUALDO
author_facet WANDRESEN, ROMUALDO
DE ANDRADE, JOSÉ BITTENCOURT
MITISHITA, EDSON APARECIDO
author_role author
author2 DE ANDRADE, JOSÉ BITTENCOURT
MITISHITA, EDSON APARECIDO
author2_role author
author
dc.contributor.author.fl_str_mv WANDRESEN, ROMUALDO
DE ANDRADE, JOSÉ BITTENCOURT
MITISHITA, EDSON APARECIDO
dc.subject.por.fl_str_mv redes neurais artificiais; correlação estatística; pontos pré-sinalizados; identificação automática; morfologia matemática; artificial neural networks, statistical correlation; target; automatic identification; mathematical morphology
topic redes neurais artificiais; correlação estatística; pontos pré-sinalizados; identificação automática; morfologia matemática; artificial neural networks, statistical correlation; target; automatic identification; mathematical morphology
description The main goal of this work is to present new tools for automated identification of photographic images of ground targets for aerophotogrametry applications such as aerotriangulation. The identification of the targeted control points images was done by using the concepts of statistical correlation, artificial neural networks and mathematic morphology with emphasis on binary erosion. It was established procedures for identifying automatically common points in a pair of photographs. With the purpose of verifying the consistency of the identified points a fotogrammetric model of the test area was mounted.
publishDate 2005
dc.date.none.fl_str_mv 2005-12-31
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/bcg/article/view/4394
url https://revistas.ufpr.br/bcg/article/view/4394
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufpr.br/bcg/article/view/4394/3459
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
dc.source.none.fl_str_mv Boletim de Ciências Geodésicas; Vol 11, No 2 (2005)
Bulletin of Geodetic Sciences; Vol 11, No 2 (2005)
1982-2170
1413-4853
reponame:Boletim de Ciências Geodésicas
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Boletim de Ciências Geodésicas
collection Boletim de Ciências Geodésicas
repository.name.fl_str_mv Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br
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