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Automatic 3-D Building Model Reconstruction from Very High Resolution Stereo Satellite Imagery

Partovi, Tahmineh and Fraundorfer, Friedrich and Bahmanyar, Reza and Huang, Hai and Reinartz, Peter (2019) Automatic 3-D Building Model Reconstruction from Very High Resolution Stereo Satellite Imagery. Remote Sensing, 11 (14), pp. 1-38. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs11141660 ISSN 2072-4292

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Official URL: https://www.mdpi.com/2072-4292/11/14/1660

Abstract

Recent advances in the availability of very high-resolution (VHR) satellite data together with efficient data acquisition and large area coverage have led to an upward trend in their applications for automatic 3-D building model reconstruction which require large-scale and frequent updates, such as disaster monitoring and urban management. Digital Surface Models (DSMs) generated from stereo satellite imagery suffer from mismatches, missing values, or blunders, resulting in rough building shape representations. To handle 3-D building model reconstruction using such low-quality DSMs, we propose a novel automatic multistage hybrid method using DSMs together with orthorectified panchromatic (PAN) and pansharpened data (PS) of multispectral (MS) satellite imagery. The algorithm consists of multiple steps including building boundary extraction and decomposition, image-based roof type classification, and initial roof parameter computation which are prior knowledge for the 3-D model fitting step. To fit 3-D models to the normalized DSM (nDSM) and to select the best one, a parameter optimization method based on exhaustive search is used sequentially in 2-D and 3-D. Finally, the neighboring building models in a building block are intersected to reconstruct the 3-D model of connecting roofs. All corresponding experiments are conducted on a dataset including four different areas of Munich city containing 208 buildings with different degrees of complexity. The results are evaluated both qualitatively and quantitatively. According to the results, the proposed approach can reliably reconstruct 3-D building models, even the complex ones with several inner yards and multiple orientations. Furthermore, the proposed approach provides a high level of automation by limiting the number of primitive roof types and by performing automatic parameter initialization.

Item URL in elib:https://elib.dlr.de/128472/
Document Type:Article
Title:Automatic 3-D Building Model Reconstruction from Very High Resolution Stereo Satellite Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Partovi, Tahminehtahmineh.partovi (at) dlr.deUNSPECIFIED
Fraundorfer, Friedrichfraundorfer (at) icg.tugraz.athttps://orcid.org/0000-0002-5805-8892
Bahmanyar, Rezareza.bahmanyar (at) dlr.deUNSPECIFIED
Huang, Haibundeswehr university munichUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.dehttps://orcid.org/0000-0002-8122-1475
Date:11 July 2019
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:11
DOI :10.3390/rs11141660
Page Range:pp. 1-38
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:automatic methods; 3-D building model reconstruction; digital surface model; exhaustive search; hybrid methods; satellite imagery
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Knickl, Sabine
Deposited On:02 Aug 2019 13:49
Last Modified:21 Nov 2019 05:05

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