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Statistical Building Proof Reconstruction from Worldview-2 Stereo Imagery

Partovi, Tahmineh and Huang, H. and Krauß, Thomas and Mayer, H. and Reinartz, Peter (2015) Statistical Building Proof Reconstruction from Worldview-2 Stereo Imagery. In: International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 43 (W2), pp. 161-167. Copernicus Publications. Photogrammetric Image Analysis (PIA) 2015, 25.-27. March 2015, München, Deutschland. DOI: 10.5194/isprsarchives-XL-3-W2-161-2015

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3D building reconstruction from point clouds is an active research topic in remote sensing, photogrammetry and computer vision. Most of the prior research has been done on 3D building reconstruction from LiDAR data which means high resolution and dense data. The interest of this work is 3D building reconstruction from Digital Surface Models (DSM) of stereo image matching of space borne satellite data which cover larger areas than LiDAR datasets in one data acquisition step and can be used also for remote regions. The challenging problem is the noise of this data because of low resolution and matching errors. In this paper, a top-down and bottom-up method is developed to find building roof models which exhibit the optimum fit to the point clouds of the DSM. In the bottom up step of this hybrid method, the building mask and roof components such as ridge lines are extracted. In addition, in order to reduce the computational complexity and search space, roofs are classified to pitched and flat roofs as well. Ridge lines are utilized to estimate the roof primitives from a building library such as width, length, positions and orientation. Thereafter, a top-down approach based on Markov Chain Monte Carlo and simulated annealing is applied to optimize roof parameters in an iterative manner by stochastic sampling and minimizing the average of Euclidean distance between point cloud and model surface as fitness function. Experiments are performed on two areas of Munich city which include three roof types (hipped, gable and flat roofs). The results show the efficiency of this method in even for this type of noisy datasets

Item URL in elib:https://elib.dlr.de/102195/
Document Type:Conference or Workshop Item (Speech)
Title:Statistical Building Proof Reconstruction from Worldview-2 Stereo Imagery
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Partovi, Tahminehtahmineh.partovi (at) dlr.deUNSPECIFIED
Huang, H.Bundeswehr Univ Munich, Neubiberg, GermanyUNSPECIFIED
Krauß, ThomasThomas.Krauss (at) dlr.dehttps://orcid.org/0000-0001-6004-1435
Mayer, H.Bundeswehr Univ Munich, Neubiberg, GermanyUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:March 2015
Journal or Publication Title:International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.5194/isprsarchives-XL-3-W2-161-2015
Page Range:pp. 161-167
Stilla, U.Leibniz University Hannover, Germany
Heipke, C.TUM, Germany
Publisher:Copernicus Publications
Keywords:Building Roof Reconstruction; DEM; Statistical Approach; Urban Area; Worldview-2 Imagery
Event Title:Photogrammetric Image Analysis (PIA) 2015
Event Location:München, Deutschland
Event Type:international Conference
Event Dates:25.-27. March 2015
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited On:14 Jan 2016 17:09
Last Modified:31 Jul 2019 19:59

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