Parameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines

This paper aims to automatically reconstruct 3D building models on a large scale using a new approach on the basis of half-spaces, while making no assumptions about the building layout and keeping the number of input parameters to a minimum. The proposed algorithm is performed in two stages. First,...

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Autores principales:	Marko Bizjak, Borut Žalik, Niko Lukač
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	building model reconstruction half-space LiDAR data urban scale Science Q
Acceso en línea:	https://doaj.org/article/9a6c1f9660374599b0f6d591573678a4
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id	oai:doaj.org-article:9a6c1f9660374599b0f6d591573678a4
record_format	dspace
spelling	oai:doaj.org-article:9a6c1f9660374599b0f6d591573678a42021-11-11T18:56:32ZParameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines10.3390/rs132144302072-4292https://doaj.org/article/9a6c1f9660374599b0f6d591573678a42021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4430https://doaj.org/toc/2072-4292This paper aims to automatically reconstruct 3D building models on a large scale using a new approach on the basis of half-spaces, while making no assumptions about the building layout and keeping the number of input parameters to a minimum. The proposed algorithm is performed in two stages. First, the airborne LiDAR data and buildings’ outlines are preprocessed to generate buildings’ base models and the corresponding half-spaces. In the second stage, the half-spaces are analysed and used for shaping the final 3D building model using 3D Boolean operations. In experiments, the proposed algorithm was applied on a large scale, and its’ performance was inspected on a city level and on a single building level. Accurate reconstruction of buildings with various layouts were demonstrated and limitations were identified for large-scale applications. Finally, the proposed algorithm was validated on an ISPRS benchmark dataset, where a RMSE of 1.31 m and completeness of 98.9% were obtained.Marko BizjakBorut ŽalikNiko LukačMDPI AGarticlebuilding modelreconstructionhalf-spaceLiDAR dataurban scaleScienceQENRemote Sensing, Vol 13, Iss 4430, p 4430 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	building model reconstruction half-space LiDAR data urban scale Science Q
spellingShingle	building model reconstruction half-space LiDAR data urban scale Science Q Marko Bizjak Borut Žalik Niko Lukač Parameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines
description	This paper aims to automatically reconstruct 3D building models on a large scale using a new approach on the basis of half-spaces, while making no assumptions about the building layout and keeping the number of input parameters to a minimum. The proposed algorithm is performed in two stages. First, the airborne LiDAR data and buildings’ outlines are preprocessed to generate buildings’ base models and the corresponding half-spaces. In the second stage, the half-spaces are analysed and used for shaping the final 3D building model using 3D Boolean operations. In experiments, the proposed algorithm was applied on a large scale, and its’ performance was inspected on a city level and on a single building level. Accurate reconstruction of buildings with various layouts were demonstrated and limitations were identified for large-scale applications. Finally, the proposed algorithm was validated on an ISPRS benchmark dataset, where a RMSE of 1.31 m and completeness of 98.9% were obtained.
format	article
author	Marko Bizjak Borut Žalik Niko Lukač
author_facet	Marko Bizjak Borut Žalik Niko Lukač
author_sort	Marko Bizjak
title	Parameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines
title_short	Parameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines
title_full	Parameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines
title_fullStr	Parameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines
title_full_unstemmed	Parameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines
title_sort	parameter-free half-spaces based 3d building reconstruction using ground and segmented building points from airborne lidar data with 2d outlines
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9a6c1f9660374599b0f6d591573678a4
work_keys_str_mv	AT markobizjak parameterfreehalfspacesbased3dbuildingreconstructionusinggroundandsegmentedbuildingpointsfromairbornelidardatawith2doutlines AT borutzalik parameterfreehalfspacesbased3dbuildingreconstructionusinggroundandsegmentedbuildingpointsfromairbornelidardatawith2doutlines AT nikolukac parameterfreehalfspacesbased3dbuildingreconstructionusinggroundandsegmentedbuildingpointsfromairbornelidardatawith2doutlines
_version_	1718431661153058816

Parameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines

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