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New Advances in Automated Urban Modelling from Airborne Laser Scanning Data
Date Issued
2011-12-01
Date Available
2013-01-18T17:19:24Z
Abstract
Traditionally, urban models in many applications such as urban planning, disaster management, and computer games only require visual accuracy. However, more recently, updating urban infrastructure combined with the rise of mega-cities (i.e. those with populations over ten million) has motivated researchers and users to utilize city-scale models for engineering purposes (e.g. tracking pollution monitoring, optimizing solar panel placement), which necessitates high geometric accuracy. Currently, a major bottleneck lies in the cost of generating accurate, geo-spatially referenced models. This paper presents the evolution of some of the efforts to automatically produce such models. Specifically, recent advances in airborne laser scanning can rapidly acquire accurate, spatial data for large geographic areas in hours, but due to the size of the data sets, coupled with difficulties of capturing and portraying complex structures, many post-processing issues have only recently been addressed to a level sufficient to begin to facilitate automation, especially of building surface reconstruction. Automation is a critical step for further processing and utilization of airborne laser scanned data for engineering-based, urban modeling. This paper presents recent development of the methods for building detection and extraction, with an emphasis on patents and other contributions related to automated processing of airborne laser scanning data.
Type of Material
Journal Article
Publisher
Bentham Science
Journal
Recent Patents on Engineering
Volume
5
Issue
3
Start Page
196
End Page
208
Copyright (Published Version)
2011, Bentham Science Publishers
Language
English
Status of Item
Peer reviewed
ISSN
1872-2121
This item is made available under a Creative Commons License
File(s)
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Name
laeferetal2011.pdf
Size
1.33 MB
Format
Adobe PDF
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