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Multi-Level Building Reconstruction for Automatic Enhancement of High Resolution DSMS

Arefi, Hossein and Reinartz, Peter (2012) Multi-Level Building Reconstruction for Automatic Enhancement of High Resolution DSMS. In: ISPRS Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B2, pp. 11-16. Copernicus Publications. XXII ISPRS Congress 2012, 25. Aug. – 01. Sep. 2012, Melbourne, Australia. ISSN doi:10.5194/isprsarchives-XXXIX-B2-11-2012

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Official URL: http:\\www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B2/11/2012/


In this article a multi-level approach is proposed for reconstruction-based improvement of high resolution Digital Surface Models (DSMs). The concept of Levels of Detail (LOD) defined by CityGML standard has been considered as basis for abstraction levels of building roof structures. Here, the LOD1 and LOD2 which are related to prismatic and parametric roof shapes are reconstructed. Besides proposing a new approach for automatic LOD1 and LOD2 generation from high resolution DSMs, the algorithm contains two generalization levels namely horizontal and vertical. Both generalization levels are applied to prismatic model of buildings. The horizontal generalization allows controlling the approximation level of building footprints which is similar to cartographic generalization concept of the urban maps. In vertical generalization, the prismatic model is formed using an individual building height and continuous to included all flat structures locating in different height levels. The concept of LOD1 generation is based on approximation of the building footprints into rectangular or non-rectangular polygons. For a rectangular building containing one main orientation a method based on Minimum Bounding Rectangle (MBR) in employed. In contrast, a Combined Minimum Bounding Rectangle (CMBR) approach is proposed for regularization of non-rectilinear polygons, i.e. buildings without perpendicular edge directions. Both MBRand CMBR-based approaches are iteratively employed on building segments to reduce the original building footprints to a minimum number of nodes with maximum similarity to original shapes. A model driven approach based on the analysis of the 3D points of DSMs in a 2D projection plane is proposed for LOD2 generation. Accordingly, a building block is divided into smaller parts according to the direction and number of existing ridge lines. The 3D model is derived for each building part and finally, a complete parametric model is formed by merging all the 3D models of the individual parts and adjusting the nodes after the merging step. In order to provide an enhanced DSM, a surface model is provided for each building by interpolation of the internal points of the generated models. All interpolated models are situated on a Digital Terrain Model (DTM) of corresponding area to shape the enhanced DSM. Proposed DSM enhancement approach has been tested on a dataset from Munich central area. The original DSM is created using robust stereo matching of Worldview-2 stereo images. A quantitative assessment of the new DSM by comparing the heights of the ridges and eaves shows a standard deviation of better than 50cm.

Item URL in elib:https://elib.dlr.de/78907/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:Multi-Level Building Reconstruction for Automatic Enhancement of High Resolution DSMS
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Arefi, Hosseinhossein.arefi (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:25 July 2012
Journal or Publication Title:ISPRS Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.
Refereed publication:No
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:No
Volume: XXXIX-B2
Page Range:pp. 11-16
Publisher:Copernicus Publications
Series Name:ISPRS Archive
Keywords:Digital Surface Models(DSM), Generalization, Levels of Detail (LOD), Approximation, Building, prismatic, parametric DSM Enhancement
Event Title:XXII ISPRS Congress 2012
Event Location:Melbourne, Australia
Event Type:international Conference
Event Dates:25. Aug. – 01. Sep. 2012
Organizer:International Society of Photogrammetry and Remote Sensing
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 On:27 Nov 2012 07:46
Last Modified:28 Nov 2012 16:22

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