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Fusion of multi-sensor-derived heights and OSM-derived building footprints for urban 3D reconstruction

Bagheri, Hossein and Schmitt, Michael and Zhu, Xiao Xiang (2019) Fusion of multi-sensor-derived heights and OSM-derived building footprints for urban 3D reconstruction. ISPRS International Journal of Geo-Information, 8 (193), pp. 1-17. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/ijgi8040193 ISSN 2220-9964

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Abstract

So-called prismatic 3D building models, following the level-of-detail (LOD) 1 of the OGC City Geography Markup Language (CityGML) standard, are usually generated automatically by combining building footprints with height values. Typically, high-resolution digital elevation models (DEMs) or dense LiDAR point clouds are used to generate these building models. However, high-resolution LiDAR data are usually not available with extensive coverage, whereas globally available DEM data are often not detailed and accurate enough to provide sufficient input to the modeling of individual buildings. Therefore, this paper investigates the possibility of generating LOD1 building models from both volunteered geographic information (VGI) in the form of OpenStreetMap data and remote sensing-derived geodata improved by multi-sensor and multi-modal DEM fusion techniques or produced by synthetic aperture radar (SAR)-optical stereogrammetry. The results of this study show several things: First, it can be seen that the height information resulting from data fusion is of higher quality than the original data sources. Secondly, the study confirms that simple, prismatic building models can be reconstructed by combining OpenStreetMap building footprints and easily accessible, remote sensing-derived geodata, indicating the potential of application on extensive areas. The building models were created under the assumption of flat terrain at a constant height, which is valid in the selected study area.

Item URL in elib:https://elib.dlr.de/130020/
Document Type:Article
Title:Fusion of multi-sensor-derived heights and OSM-derived building footprints for urban 3D reconstruction
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bagheri, Hosseinhossein.bagheri (at) tum.deUNSPECIFIED
Schmitt, Michaelm.schmitt (at) tum.dehttps://orcid.org/0000-0002-0575-2362
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:April 2019
Journal or Publication Title:ISPRS International Journal of Geo-Information
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:8
DOI :10.3390/ijgi8040193
Page Range:pp. 1-17
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2220-9964
Status:Published
Keywords:3D building reconstruction; building model; OpenStreetMap (OSM); building foot prints; multi-sensor fusion; digital elevation models (DEM); LOD1; SAR-optical stereogrammetry 3D building reconstruction; building model; OpenStreetMap (OSM); building foot prints; multi-sensor fusion; digital elevation models (DEM); LOD1; SAR-optical stereogrammetry
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Hong, Danfeng
Deposited On:07 Nov 2019 11:49
Last Modified:23 Jan 2020 12:43

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