Uso de dados fotogramétricos no refinamento geométrico de contornos de telhados de edifícios extraídos de dados laser

Detalhes bibliográficos
Autor(a) principal: Dal Poz, Aluir P. [UNESP]
Data de Publicação: 2009
Outros Autores: Habib, Ayman F., Marcato, Vanessa Jordão [UNESP], Correia, Larissa de Souza [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/225652
Resumo: In this paper, a methodology is proposed for the geometric refinement of laser scanning building roof contours using high-resolution aerial images and Markov Random Field (MRF) models. The proposed methodology assumes that the 3D description of each building roof reconstructed from the laser scanning data (i.e., a polyhedron) is topologically correct and that it is only necessary to improve its accuracy. Since roof ridges are accurately extracted from laser scanning data, our main objective is to use high-resolution aerial images to improve the accuracy of roof outlines. In order to meet this goal, the available roof contours are first projected onto the image-space. Then, the projected polygons and the straight lines extracted from the image are used to establish an MRF description, which is based on relations (relative length, proximity, and orientation) between the two sets of straight lines. The energy function associated with the MRF is minimized using a modified version of the brute force algorithm, resulting in the grouping of straight lines for each roof object. Finally, each grouping of straight lines is topologically reconstructed based on the topology of the corresponding laser scanning polygon projected onto the image-space. The preliminary results showed that the proposed methodology is promising, since most sides of the refined polygons are geometrically better than corresponding projected laser scanning straight lines.
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spelling Uso de dados fotogramétricos no refinamento geométrico de contornos de telhados de edifícios extraídos de dados laserGeometric refinement of laser-derived building roof contours using photogrammetric dataAerial imageBuilding extractionFeature extractionLaser dataMRFIn this paper, a methodology is proposed for the geometric refinement of laser scanning building roof contours using high-resolution aerial images and Markov Random Field (MRF) models. The proposed methodology assumes that the 3D description of each building roof reconstructed from the laser scanning data (i.e., a polyhedron) is topologically correct and that it is only necessary to improve its accuracy. Since roof ridges are accurately extracted from laser scanning data, our main objective is to use high-resolution aerial images to improve the accuracy of roof outlines. In order to meet this goal, the available roof contours are first projected onto the image-space. Then, the projected polygons and the straight lines extracted from the image are used to establish an MRF description, which is based on relations (relative length, proximity, and orientation) between the two sets of straight lines. The energy function associated with the MRF is minimized using a modified version of the brute force algorithm, resulting in the grouping of straight lines for each roof object. Finally, each grouping of straight lines is topologically reconstructed based on the topology of the corresponding laser scanning polygon projected onto the image-space. The preliminary results showed that the proposed methodology is promising, since most sides of the refined polygons are geometrically better than corresponding projected laser scanning straight lines.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Departamento de Cartografia UNESP FCT, Rua Roberto Simonsen, 305, 19060-900, Presidente Prudente, SPThe University of Calgary Department of Geomatics Engineering Schulich School of Engineering, 2500 University Drive NW, T2N 1N4, CalgaryUNESP FCT Bolsista de IC/FAPESPDepartamento de Cartografia UNESP FCT, Rua Roberto Simonsen, 305, 19060-900, Presidente Prudente, SPUNESP FCT Bolsista de IC/FAPESPUniversidade Estadual Paulista (UNESP)Schulich School of EngineeringDal Poz, Aluir P. [UNESP]Habib, Ayman F.Marcato, Vanessa Jordão [UNESP]Correia, Larissa de Souza [UNESP]2022-04-28T20:56:58Z2022-04-28T20:56:58Z2009-10-21info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBoletim de Ciencias Geodesicas, v. 15, n. 3, 2009.1413-4853http://hdl.handle.net/11449/2256522-s2.0-70350028502Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporBoletim de Ciencias Geodesicas240769info:eu-repo/semantics/openAccess2024-06-18T15:01:39Zoai:repositorio.unesp.br:11449/225652Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:16:36.080408Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Uso de dados fotogramétricos no refinamento geométrico de contornos de telhados de edifícios extraídos de dados laser
Geometric refinement of laser-derived building roof contours using photogrammetric data
title Uso de dados fotogramétricos no refinamento geométrico de contornos de telhados de edifícios extraídos de dados laser
spellingShingle Uso de dados fotogramétricos no refinamento geométrico de contornos de telhados de edifícios extraídos de dados laser
Dal Poz, Aluir P. [UNESP]
Aerial image
Building extraction
Feature extraction
Laser data
MRF
title_short Uso de dados fotogramétricos no refinamento geométrico de contornos de telhados de edifícios extraídos de dados laser
title_full Uso de dados fotogramétricos no refinamento geométrico de contornos de telhados de edifícios extraídos de dados laser
title_fullStr Uso de dados fotogramétricos no refinamento geométrico de contornos de telhados de edifícios extraídos de dados laser
title_full_unstemmed Uso de dados fotogramétricos no refinamento geométrico de contornos de telhados de edifícios extraídos de dados laser
title_sort Uso de dados fotogramétricos no refinamento geométrico de contornos de telhados de edifícios extraídos de dados laser
author Dal Poz, Aluir P. [UNESP]
author_facet Dal Poz, Aluir P. [UNESP]
Habib, Ayman F.
Marcato, Vanessa Jordão [UNESP]
Correia, Larissa de Souza [UNESP]
author_role author
author2 Habib, Ayman F.
Marcato, Vanessa Jordão [UNESP]
Correia, Larissa de Souza [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Schulich School of Engineering
dc.contributor.author.fl_str_mv Dal Poz, Aluir P. [UNESP]
Habib, Ayman F.
Marcato, Vanessa Jordão [UNESP]
Correia, Larissa de Souza [UNESP]
dc.subject.por.fl_str_mv Aerial image
Building extraction
Feature extraction
Laser data
MRF
topic Aerial image
Building extraction
Feature extraction
Laser data
MRF
description In this paper, a methodology is proposed for the geometric refinement of laser scanning building roof contours using high-resolution aerial images and Markov Random Field (MRF) models. The proposed methodology assumes that the 3D description of each building roof reconstructed from the laser scanning data (i.e., a polyhedron) is topologically correct and that it is only necessary to improve its accuracy. Since roof ridges are accurately extracted from laser scanning data, our main objective is to use high-resolution aerial images to improve the accuracy of roof outlines. In order to meet this goal, the available roof contours are first projected onto the image-space. Then, the projected polygons and the straight lines extracted from the image are used to establish an MRF description, which is based on relations (relative length, proximity, and orientation) between the two sets of straight lines. The energy function associated with the MRF is minimized using a modified version of the brute force algorithm, resulting in the grouping of straight lines for each roof object. Finally, each grouping of straight lines is topologically reconstructed based on the topology of the corresponding laser scanning polygon projected onto the image-space. The preliminary results showed that the proposed methodology is promising, since most sides of the refined polygons are geometrically better than corresponding projected laser scanning straight lines.
publishDate 2009
dc.date.none.fl_str_mv 2009-10-21
2022-04-28T20:56:58Z
2022-04-28T20:56:58Z
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 Boletim de Ciencias Geodesicas, v. 15, n. 3, 2009.
1413-4853
http://hdl.handle.net/11449/225652
2-s2.0-70350028502
identifier_str_mv Boletim de Ciencias Geodesicas, v. 15, n. 3, 2009.
1413-4853
2-s2.0-70350028502
url http://hdl.handle.net/11449/225652
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Boletim de Ciencias Geodesicas
240769
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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