Integrating neural networks and correlation for identifying targeted control points
Autor(a) principal: | |
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Data de Publicação: | 2005 |
Outros Autores: | , |
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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Boletim de Ciências Geodésicas |
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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 |
_version_ |
1799771720701181952 |