LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGES

LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGES

We propose a pipeline for the detection as well as modeling of individual buildings based on multi-source images. It allows to consistently reconstruct whole buildings at Level of Detail 3 (LoD3): the roof from airborne images and the facades including elements such as windows and doors mainly from...

Full description

Bibliographic Details
Main Authors: H. Huang, M. Michelini, M. Schmitz, L. Roth, H. Mayer
Format: Article
Language:English
Published: Copernicus Publications 2020-08-01
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/XLIII-B2-2020/427/2020/isprs-archives-XLIII-B2-2020-427-2020.pdf
id doaj-02d31c546390484ab5d196631dc98b2e
record_format Article
spelling doaj-02d31c546390484ab5d196631dc98b2e2020-11-25T03:12:45ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-08-01XLIII-B2-202042743410.5194/isprs-archives-XLIII-B2-2020-427-2020LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGESH. Huang0M. Michelini1M. Schmitz2L. Roth3H. Mayer4Institute for Applied Computer Science, Universität der Bundeswehr München, GermanyInstitute for Applied Computer Science, Universität der Bundeswehr München, GermanyInstitute for Applied Computer Science, Universität der Bundeswehr München, GermanyInstitute for Applied Computer Science, Universität der Bundeswehr München, GermanyInstitute for Applied Computer Science, Universität der Bundeswehr München, GermanyWe propose a pipeline for the detection as well as modeling of individual buildings based on multi-source images. It allows to consistently reconstruct whole buildings at Level of Detail 3 (LoD3): the roof from airborne images and the facades including elements such as windows and doors mainly from terrestrial images. We employ a parametrized top-down model – the “shell model” – with the roof as well as the facades semantically and geometrically integrated. This generative model fosters stability for building detection by enabling the use of multi-source data and offers flexibility in modeling by means of a fully CAD-compatible integration of building components. Experiments performed on imagery from different terrestrial and airborne (Unmanned Aerial Vehicle – UAV) cameras demonstrate the potential of the approach.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/427/2020/isprs-archives-XLIII-B2-2020-427-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author H. Huang
M. Michelini
M. Schmitz
L. Roth
H. Mayer
spellingShingle H. Huang
M. Michelini
M. Schmitz
L. Roth
H. Mayer
LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGES
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet H. Huang
M. Michelini
M. Schmitz
L. Roth
H. Mayer
author_sort H. Huang
title LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGES
title_short LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGES
title_full LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGES
title_fullStr LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGES
title_full_unstemmed LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGES
title_sort lod3 building reconstruction from multi-source images
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2020-08-01
description We propose a pipeline for the detection as well as modeling of individual buildings based on multi-source images. It allows to consistently reconstruct whole buildings at Level of Detail 3 (LoD3): the roof from airborne images and the facades including elements such as windows and doors mainly from terrestrial images. We employ a parametrized top-down model – the “shell model” – with the roof as well as the facades semantically and geometrically integrated. This generative model fosters stability for building detection by enabling the use of multi-source data and offers flexibility in modeling by means of a fully CAD-compatible integration of building components. Experiments performed on imagery from different terrestrial and airborne (Unmanned Aerial Vehicle – UAV) cameras demonstrate the potential of the approach.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/427/2020/isprs-archives-XLIII-B2-2020-427-2020.pdf
work_keys_str_mv AT hhuang lod3buildingreconstructionfrommultisourceimages
AT mmichelini lod3buildingreconstructionfrommultisourceimages
AT mschmitz lod3buildingreconstructionfrommultisourceimages
AT lroth lod3buildingreconstructionfrommultisourceimages
AT hmayer lod3buildingreconstructionfrommultisourceimages
_version_ 1724648677943803904

Similar Items