Methodology to automatic integration of digital aerial images and LIDAR data
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Boletim de Ciências Geodésicas |
Texto Completo: | https://revistas.ufpr.br/bcg/article/view/10736 |
Resumo: | This article presents a methodology for automatic integration between aerial digitalimages and LIDAR data. The aerial and the LIDAR surveying were accomplishedin distinct times and in different flight missions. The intensity image was generatedby interpolation from 3D positions and laser pulse return information contained inthe LIDAR cloud points. The knowledge of the positions in both kind of image:aerial digital image and intensity image, means to know the point position in theimage and object spaces. So these points could be considered as the control ones.The matching among RGB image and LIDAR intensity image is not trivial due totheir accented radiometric differences. The images are automatically processed andtheir point correspondence are based upon corners and edges detection, area basedmatching, cross correlation coefficient, and 2D affine transformation. The processfinishes with the computation of the exterior orientation parameters using spatialresection controlled by control points extracted automatically. |
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Boletim de Ciências Geodésicas |
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Methodology to automatic integration of digital aerial images and LIDAR dataMETODOLOGIA PARA INTEGRAÇÃO AUTOMÁTICA DE IMAGENS AÉREAS DIGITAIS E DADOS SPLAautomation, data integration, automatic exterior orientation, digital camera, LIDAR; automação, integração, orientação exterior automática, câmera digital, SPLAThis article presents a methodology for automatic integration between aerial digitalimages and LIDAR data. The aerial and the LIDAR surveying were accomplishedin distinct times and in different flight missions. The intensity image was generatedby interpolation from 3D positions and laser pulse return information contained inthe LIDAR cloud points. The knowledge of the positions in both kind of image:aerial digital image and intensity image, means to know the point position in theimage and object spaces. So these points could be considered as the control ones.The matching among RGB image and LIDAR intensity image is not trivial due totheir accented radiometric differences. The images are automatically processed andtheir point correspondence are based upon corners and edges detection, area basedmatching, cross correlation coefficient, and 2D affine transformation. The processfinishes with the computation of the exterior orientation parameters using spatialresection controlled by control points extracted automatically.O presente artigo apresenta uma metodologia para integração automática deimagens aéreas digitais e dados SPLA obtidos em épocas distintas (os sistemas deperfilamento a laser e fotogramétrico são independentes). A imagem de intensidadeSPLA é gerada a partir da interpolação de pontos cujas coordenadas tridimensionaisforam determinadas pelo sistema de perfilamento laser e da informação referente àintensidade de retorno do pulso do varredor laser. O conhecimento das posições depontos nos dois tipos de imagens equivale a se conhecer as posições destes pontosno espaço imagem e no espaço objeto, características estas fundamentais parautilização de tais pontos, como pontos de apoio ou de controle fotogramétrico. Acorrelação entre as imagens RGB e de intensidade SPLA não é trivial em função dasdiferenças radiométricas entre ambas. As imagens são processadas automaticamentee a correspondência de pontos entre as duas imagens é baseada na detecção decantos e bordas, correlação baseada em áreas, coeficiente de correlação e datransformação afim geral no plano. O processo é finalizado com o cálculo dosparâmetros de orientação exterior via ressecção espacial, controlada pelos pontos deapoio extraídos automaticamente.Boletim de Ciências GeodésicasBulletin of Geodetic Sciences2007-12-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/10736Boletim de Ciências Geodésicas; Vol 13, No 2 (2007)Bulletin of Geodetic Sciences; Vol 13, No 2 (2007)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRporhttps://revistas.ufpr.br/bcg/article/view/10736/7133Santos Jr, Roosevelt de LaraMitishita, Edson AparecidoBähr, Hans-PeterVögtle, Thomasinfo:eu-repo/semantics/openAccess2008-05-12T17:32:11Zoai:revistas.ufpr.br:article/10736Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2008-05-12T17:32:11Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false |
dc.title.none.fl_str_mv |
Methodology to automatic integration of digital aerial images and LIDAR data METODOLOGIA PARA INTEGRAÇÃO AUTOMÁTICA DE IMAGENS AÉREAS DIGITAIS E DADOS SPLA |
title |
Methodology to automatic integration of digital aerial images and LIDAR data |
spellingShingle |
Methodology to automatic integration of digital aerial images and LIDAR data Santos Jr, Roosevelt de Lara automation, data integration, automatic exterior orientation, digital camera, LIDAR; automação, integração, orientação exterior automática, câmera digital, SPLA |
title_short |
Methodology to automatic integration of digital aerial images and LIDAR data |
title_full |
Methodology to automatic integration of digital aerial images and LIDAR data |
title_fullStr |
Methodology to automatic integration of digital aerial images and LIDAR data |
title_full_unstemmed |
Methodology to automatic integration of digital aerial images and LIDAR data |
title_sort |
Methodology to automatic integration of digital aerial images and LIDAR data |
author |
Santos Jr, Roosevelt de Lara |
author_facet |
Santos Jr, Roosevelt de Lara Mitishita, Edson Aparecido Bähr, Hans-Peter Vögtle, Thomas |
author_role |
author |
author2 |
Mitishita, Edson Aparecido Bähr, Hans-Peter Vögtle, Thomas |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Santos Jr, Roosevelt de Lara Mitishita, Edson Aparecido Bähr, Hans-Peter Vögtle, Thomas |
dc.subject.por.fl_str_mv |
automation, data integration, automatic exterior orientation, digital camera, LIDAR; automação, integração, orientação exterior automática, câmera digital, SPLA |
topic |
automation, data integration, automatic exterior orientation, digital camera, LIDAR; automação, integração, orientação exterior automática, câmera digital, SPLA |
description |
This article presents a methodology for automatic integration between aerial digitalimages and LIDAR data. The aerial and the LIDAR surveying were accomplishedin distinct times and in different flight missions. The intensity image was generatedby interpolation from 3D positions and laser pulse return information contained inthe LIDAR cloud points. The knowledge of the positions in both kind of image:aerial digital image and intensity image, means to know the point position in theimage and object spaces. So these points could be considered as the control ones.The matching among RGB image and LIDAR intensity image is not trivial due totheir accented radiometric differences. The images are automatically processed andtheir point correspondence are based upon corners and edges detection, area basedmatching, cross correlation coefficient, and 2D affine transformation. The processfinishes with the computation of the exterior orientation parameters using spatialresection controlled by control points extracted automatically. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-12-31 |
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/10736 |
url |
https://revistas.ufpr.br/bcg/article/view/10736 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/bcg/article/view/10736/7133 |
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 13, No 2 (2007) Bulletin of Geodetic Sciences; Vol 13, No 2 (2007) 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_ |
1799771721775972352 |