Sensors 2008, 8(11), 7323-7343; doi:10.3390/s8117323
Article

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.
Received: 15 September 2008; in revised form: 21 October 2008 / Accepted: 7 November 2008 / Published: 17 November 2008
(This article belongs to the Special Issue LiDAR for 3D City Modeling)
PDF Full-text Download PDF Full-Text [2488 KB, uploaded 17 November 2008 16:16 CET]
Abstract: 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.
Keywords: building modeling; building outline; segmentation; planar faces; regularization

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

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.

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.

Chicago/Turabian Style

Dorninger, Peter; Pfeifer, Norbert. 2008. "A Comprehensive Automated 3D Approach for Building Extraction, Reconstruction, and Regularization from Airborne Laser Scanning Point Clouds." Sensors 8, no. 11: 7323-7343.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert