A Comprehensive Automated 3D Approach for Building Extraction, Reconstruction, and Regularization from Airborne Laser Scanning Point Clouds
1
Christian Doppler Laboratory “Spatial Data from Laser Scanning and Remote Sensing”, Institute of Photogrammetry and Remote Sensing, TU Vienna, Gußhausstraße 27-29, A-1040 Vienna, Austria
2
Institute of Photogrammetry and Remote Sensing, TU Vienna, Gußhausstraße 27-29, A-1040 Vienna, Austria
*
Author to whom correspondence should be addressed.
Sensors 2008, 8(11), 7323-7343; https://doi.org/10.3390/s8117323
Received: 15 September 2008
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Revised: 21 October 2008
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Accepted: 7 November 2008
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Published: 17 November 2008
(This article belongs to the Special Issue LiDAR for 3D City Modeling)
Three dimensional city models are necessary for supporting numerous management applications. For the determination of city models for visualization purposes, several standardized workflows do exist. They are either based on photogrammetry or on LiDAR or on a combination of both data acquisition techniques. However, the automated determination of reliable and highly accurate city models is still a challenging task, requiring a workflow comprising several processing steps. The most relevant are building detection, building outline generation, building modeling, and finally, building quality analysis. Commercial software tools for building modeling require, generally, a high degree of human interaction and most automated approaches described in literature stress the steps of such a workflow individually. In this article, we propose a comprehensive approach for automated determination of 3D city models from airborne acquired point cloud data. It is based on the assumption that individual buildings can be modeled properly by a composition of a set of planar faces. Hence, it is based on a reliable 3D segmentation algorithm, detecting planar faces in a point cloud. This segmentation is of crucial importance for the outline detection and for the modeling approach. We describe the theoretical background, the segmentation algorithm, the outline detection, and the modeling approach, and we present and discuss several actual projects.
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Keywords:
building modeling; building outline; segmentation; planar faces; regularization
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MDPI and ACS Style
Dorninger, P.; Pfeifer, N. A Comprehensive Automated 3D Approach for Building Extraction, Reconstruction, and Regularization from Airborne Laser Scanning Point Clouds. Sensors 2008, 8, 7323-7343. https://doi.org/10.3390/s8117323
AMA Style
Dorninger P, Pfeifer N. A Comprehensive Automated 3D Approach for Building Extraction, Reconstruction, and Regularization from Airborne Laser Scanning Point Clouds. Sensors. 2008; 8(11):7323-7343. https://doi.org/10.3390/s8117323
Chicago/Turabian StyleDorninger, Peter, and Norbert Pfeifer. 2008. "A Comprehensive Automated 3D Approach for Building Extraction, Reconstruction, and Regularization from Airborne Laser Scanning Point Clouds" Sensors 8, no. 11: 7323-7343. https://doi.org/10.3390/s8117323
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