Uso de dados fotogramétricos no refinamento geométrico de contornos de telhados de edifícios extraídos de dados laser
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808129045237334016 |