Photogrammetric refinement of laser-based building roof contours
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6550658 http://hdl.handle.net/11449/76275 |
Resumo: | In this paper a photogrammetric method is proposed for refining 3D building roof contours extracted from airborne laser scanning data. It is assumed that laser-derived planar faces of roofs are potentially accurate, while laser-derived building roof contours are not well defined. First, polygons representing building roof contours are extracted from a high-resolution aerial image. In the sequence, straight-line segments delimitating each building roof polygon are projected onto the corresponding laser-derived roof planes by using a new line-based photogrammetric model. Finally, refined 3D building roof contours are reconstructed by connecting every pair of photogrammetrically- projected adjacent straight lines. The obtained results showed that the proposed approach worked properly, meaning that the integration of image data and laser scanning data allows better results to be obtained, when compared to the results generated by using only laser scanning data. © 2013 IEEE. |
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Repositório Institucional da UNESP |
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spelling |
Photogrammetric refinement of laser-based building roof contours3d buildingsAirborne Laser scanningBuilding roofHigh-resolution aerial imagesIntegration of imagesLaser scanning dataLaser-basedStraight-line segmentsBuildingsLaser applicationsPhotogrammetryRemote sensingThree dimensionalRoofsIn this paper a photogrammetric method is proposed for refining 3D building roof contours extracted from airborne laser scanning data. It is assumed that laser-derived planar faces of roofs are potentially accurate, while laser-derived building roof contours are not well defined. First, polygons representing building roof contours are extracted from a high-resolution aerial image. In the sequence, straight-line segments delimitating each building roof polygon are projected onto the corresponding laser-derived roof planes by using a new line-based photogrammetric model. Finally, refined 3D building roof contours are reconstructed by connecting every pair of photogrammetrically- projected adjacent straight lines. The obtained results showed that the proposed approach worked properly, meaning that the integration of image data and laser scanning data allows better results to be obtained, when compared to the results generated by using only laser scanning data. © 2013 IEEE.Department of Cartography São Paulo State University Presidente, PrudenteDepartment of Cartography São Paulo State University Presidente, PrudenteUniversidade Estadual Paulista (Unesp)Dal Poz, Aluir Porfirio [UNESP]2014-05-27T11:30:09Z2014-05-27T11:30:09Z2013-08-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject29-32http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6550658Joint Urban Remote Sensing Event 2013, JURSE 2013, p. 29-32.http://hdl.handle.net/11449/76275WOS:0003256345000082-s2.0-84881324245Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJoint Urban Remote Sensing Event 2013, JURSE 2013info:eu-repo/semantics/openAccess2024-06-18T15:02:38Zoai:repositorio.unesp.br:11449/76275Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:02:38Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Photogrammetric refinement of laser-based building roof contours |
title |
Photogrammetric refinement of laser-based building roof contours |
spellingShingle |
Photogrammetric refinement of laser-based building roof contours Dal Poz, Aluir Porfirio [UNESP] 3d buildings Airborne Laser scanning Building roof High-resolution aerial images Integration of images Laser scanning data Laser-based Straight-line segments Buildings Laser applications Photogrammetry Remote sensing Three dimensional Roofs |
title_short |
Photogrammetric refinement of laser-based building roof contours |
title_full |
Photogrammetric refinement of laser-based building roof contours |
title_fullStr |
Photogrammetric refinement of laser-based building roof contours |
title_full_unstemmed |
Photogrammetric refinement of laser-based building roof contours |
title_sort |
Photogrammetric refinement of laser-based building roof contours |
author |
Dal Poz, Aluir Porfirio [UNESP] |
author_facet |
Dal Poz, Aluir Porfirio [UNESP] |
author_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Dal Poz, Aluir Porfirio [UNESP] |
dc.subject.por.fl_str_mv |
3d buildings Airborne Laser scanning Building roof High-resolution aerial images Integration of images Laser scanning data Laser-based Straight-line segments Buildings Laser applications Photogrammetry Remote sensing Three dimensional Roofs |
topic |
3d buildings Airborne Laser scanning Building roof High-resolution aerial images Integration of images Laser scanning data Laser-based Straight-line segments Buildings Laser applications Photogrammetry Remote sensing Three dimensional Roofs |
description |
In this paper a photogrammetric method is proposed for refining 3D building roof contours extracted from airborne laser scanning data. It is assumed that laser-derived planar faces of roofs are potentially accurate, while laser-derived building roof contours are not well defined. First, polygons representing building roof contours are extracted from a high-resolution aerial image. In the sequence, straight-line segments delimitating each building roof polygon are projected onto the corresponding laser-derived roof planes by using a new line-based photogrammetric model. Finally, refined 3D building roof contours are reconstructed by connecting every pair of photogrammetrically- projected adjacent straight lines. The obtained results showed that the proposed approach worked properly, meaning that the integration of image data and laser scanning data allows better results to be obtained, when compared to the results generated by using only laser scanning data. © 2013 IEEE. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-08-15 2014-05-27T11:30:09Z 2014-05-27T11:30:09Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6550658 Joint Urban Remote Sensing Event 2013, JURSE 2013, p. 29-32. http://hdl.handle.net/11449/76275 WOS:000325634500008 2-s2.0-84881324245 |
url |
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6550658 http://hdl.handle.net/11449/76275 |
identifier_str_mv |
Joint Urban Remote Sensing Event 2013, JURSE 2013, p. 29-32. WOS:000325634500008 2-s2.0-84881324245 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Joint Urban Remote Sensing Event 2013, JURSE 2013 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
29-32 |
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_ |
1803045353774120960 |