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Model-driven 3D building reconstruction based on integration of DSM and spectral information of satellite images

Partovi, Tahmineh and Krauss, Thomas and Arefi, Hossein and Mohammad, Omidalizarandi and Reinartz, Peter (2014) Model-driven 3D building reconstruction based on integration of DSM and spectral information of satellite images. In: Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, pp. 3168-3171. IEEE Xplore. IGARSS 2014, 13.-18. Juli 2014, Quebec City, Canada. DOI: 10.1109/IGARSS.2014.6947150

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6947150

Abstract

Due to the recent improvements in satellite sensors and matching technology, the derivation of 3D models from space borne stereo data attached interests in various applications such as urban planning, telecommunication and tourism. Fully automatic 3D building reconstruction from space borne point cloud data is an active research topic, where the relatively low quality of Digital Surface Models (DSM) generated by stereo matching of satellite data comparing to LiDAR data. In order to establish an efficient method to achieve high quality models and complete automation from the mentioned DSM, a new method based on a model-driven strategy is proposed. For improving the results and better detection of building boundaries and corresponding ridgelines, footprints of the buildings and refined ortho-rectified panchromatic images are utilized as additional information. The presented results are promising, at least for larger buildings.

Item URL in elib:https://elib.dlr.de/93704/
Document Type:Conference or Workshop Item (Speech)
Title:Model-driven 3D building reconstruction based on integration of DSM and spectral information of satellite images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Partovi, TahminehMF-PBAUNSPECIFIED
Krauss, ThomasMF-PBAUNSPECIFIED
Arefi, HosseinDep. Geomatic Engineering, University of Tehran, Tehran, IranUNSPECIFIED
Mohammad, OmidalizarandiGeodetic Institute, Leibniz University of Hannover, GermanyUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:July 2014
Journal or Publication Title:Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2014.6947150
Page Range:pp. 3168-3171
Editors:
EditorsEmail
UNSPECIFIEDIEEE
Publisher:IEEE Xplore
Status:Published
Keywords:Digital Surface Model, satellite data, building reconstruction
Event Title:IGARSS 2014
Event Location:Quebec City, Canada
Event Type:international Conference
Event Dates:13.-18. Juli 2014
Organizer:IEEE
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 > Photogrammetry and Image Analysis
Deposited By:INVALID USER
Deposited On:17 Dec 2014 09:35
Last Modified:17 Dec 2014 09:35

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