Next Article in Journal
Evaluation of Different Outlier Detection Methods for GPS Networks
Next Article in Special Issue
Automatic Registration of Terrestrial Laser Scanning Point Clouds using Panoramic Reflectance Images
Previous Article in Journal
Can Commercial Digital Cameras Be Used as Multispectral Sensors? A Crop Monitoring Test
Previous Article in Special Issue
Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping
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,*  and 2
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 / Revised: 21 October 2008 / Accepted: 7 November 2008 / Published: 17 November 2008
(This article belongs to the Special Issue LiDAR for 3D City Modeling)
View Full-Text   |   Download PDF [2488 KB, uploaded 21 June 2014]   |   Browse Figures

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 building modeling; building outline; segmentation; planar faces; regularization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
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.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert