3D Building Reconstruction Using Dense Photogrammetric Point Cloud

3D Building Reconstruction Using Dense Photogrammetric Point Cloud

Three dimensional models of urban areas play an important role in city planning, disaster management, city navigation and other applications. Reconstruction of 3D building models is still a challenging issue in 3D city modelling. Point clouds generated from multi view images of UAV is a novel source...

Full description

Bibliographic Details
Main Authors: S. Malihi, M. J. Valadan Zoej, M. Hahn, M. Mokhtarzade, H. Arefi
Format: Article
Language:English
Published: Copernicus Publications 2016-06-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/71/2016/isprs-archives-XLI-B3-71-2016.pdf
id doaj-5e96521e00fa4cf1a224acb211999b47
record_format Article
spelling doaj-5e96521e00fa4cf1a224acb211999b472020-11-24T21:47:57ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B3717410.5194/isprs-archives-XLI-B3-71-20163D Building Reconstruction Using Dense Photogrammetric Point CloudS. Malihi0S. Malihi1M. J. Valadan Zoej2M. Hahn3M. Mokhtarzade4H. Arefi5Faculty of Geodesy and Geomatics Engineering, Khaje Nasir Toosi University of Technology, Tehran, IranUniversity of Applied Sciences, Stuttgart, GermanyFaculty of Geodesy and Geomatics Engineering, Khaje Nasir Toosi University of Technology, Tehran, IranUniversity of Applied Sciences, Stuttgart, GermanyFaculty of Geodesy and Geomatics Engineering, Khaje Nasir Toosi University of Technology, Tehran, IranSchool of Surveying and Geospatial Engineering, University of Tehran, Tehran, IranThree dimensional models of urban areas play an important role in city planning, disaster management, city navigation and other applications. Reconstruction of 3D building models is still a challenging issue in 3D city modelling. Point clouds generated from multi view images of UAV is a novel source of spatial data, which is used in this research for building reconstruction. The process starts with the segmentation of point clouds of roofs and walls into planar groups. By generating related surfaces and using geometrical constraints plus considering symmetry, a 3d model of building is reconstructed. In a refinement step, dormers are extracted, and their models are reconstructed. The details of the 3d reconstructed model are in LoD3 level, with respect to modelling eaves, fractions of roof and dormers.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/71/2016/isprs-archives-XLI-B3-71-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. Malihi
S. Malihi
M. J. Valadan Zoej
M. Hahn
M. Mokhtarzade
H. Arefi
spellingShingle S. Malihi
S. Malihi
M. J. Valadan Zoej
M. Hahn
M. Mokhtarzade
H. Arefi
3D Building Reconstruction Using Dense Photogrammetric Point Cloud
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet S. Malihi
S. Malihi
M. J. Valadan Zoej
M. Hahn
M. Mokhtarzade
H. Arefi
author_sort S. Malihi
title 3D Building Reconstruction Using Dense Photogrammetric Point Cloud
title_short 3D Building Reconstruction Using Dense Photogrammetric Point Cloud
title_full 3D Building Reconstruction Using Dense Photogrammetric Point Cloud
title_fullStr 3D Building Reconstruction Using Dense Photogrammetric Point Cloud
title_full_unstemmed 3D Building Reconstruction Using Dense Photogrammetric Point Cloud
title_sort 3d building reconstruction using dense photogrammetric point cloud
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2016-06-01
description Three dimensional models of urban areas play an important role in city planning, disaster management, city navigation and other applications. Reconstruction of 3D building models is still a challenging issue in 3D city modelling. Point clouds generated from multi view images of UAV is a novel source of spatial data, which is used in this research for building reconstruction. The process starts with the segmentation of point clouds of roofs and walls into planar groups. By generating related surfaces and using geometrical constraints plus considering symmetry, a 3d model of building is reconstructed. In a refinement step, dormers are extracted, and their models are reconstructed. The details of the 3d reconstructed model are in LoD3 level, with respect to modelling eaves, fractions of roof and dormers.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/71/2016/isprs-archives-XLI-B3-71-2016.pdf
work_keys_str_mv AT smalihi 3dbuildingreconstructionusingdensephotogrammetricpointcloud
AT smalihi 3dbuildingreconstructionusingdensephotogrammetricpointcloud
AT mjvaladanzoej 3dbuildingreconstructionusingdensephotogrammetricpointcloud
AT mhahn 3dbuildingreconstructionusingdensephotogrammetricpointcloud
AT mmokhtarzade 3dbuildingreconstructionusingdensephotogrammetricpointcloud
AT harefi 3dbuildingreconstructionusingdensephotogrammetricpointcloud
_version_ 1725894394087735296

Similar Items