Accurate Building Outlines from ALS Data

Clode, Simon P., Kootsookos, Peter J. and Rottensteiner, Franz (2004). Accurate Building Outlines from ALS Data. In: 12th Australasian Remote Sensing and Photogrammetry Conference, Esplanade Hotel, Fremantle, Perth, Western Australia, (). October 18-22, 2004.

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Author Clode, Simon P.
Kootsookos, Peter J.
Rottensteiner, Franz
Title of paper Accurate Building Outlines from ALS Data
Conference Paper Type Fully Published Paper
Conference name 12th Australasian Remote Sensing and Photogrammetry Conference
Conference location Esplanade Hotel, Fremantle, Perth, Western Australia
Conference dates October 18-22, 2004
Publication date 2004-01-01
Abstract/Summary Building detection from airborne laser scanner (ALS) data is a well-studied problem. Most existing building detection techniques rely on the generation of a digital terrain model (DTM) and a digital surface model (DSM) from last-pulse laser scanner data. The two are compared to form a normalised DSM (nDSM), from which the buildings are detected by use of a simple height threshold. Detection rates using a normalised DSM are very good, however, the accuracy of the building delineation is a function of ALS point spacing and system accuracy. To compete with the accuracies of photogrammetric and terrestrial measurement systems, the typical point spacing of 0.5m to 1.3m would need to be increased ten fold before the systems could be compared. Modern laser scanners can deliver either first- or last-pulse data collected in the same flight. If it exists, the difference between the first-pulse height and last-pulse height indicates that there is a height step somewhere in the laser spot. In a typical urban environment, these steps correspond to trees, power lines and building boundaries or edges. In this paper, first- and last-pulse laser scanner data is combined to improve the accuracy of the building outline delineation. Inclusion of the first-pulse data allows some ALS points to be identified as lying precisely on the building edge (outline) whilst interpolated edge points are used to supplement identified edge points. The identified edge points are assigned to building edges which are subsequently calculated from the points. The paper shows results from a real test site and examines the data acquisition process in order to maximise the benefit of using this method for building extent determination.
Subjects 280203 Image Processing
Keyword laser scanning
airborne laser scanner
ALS
buildings
detection
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Conference Paper
Sub-type: Fully Published Paper
Collection: School of Information Technology and Electrical Engineering Publications
 
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Created: Fri, 20 Aug 2004, 10:00:00 EST by Peter Kootsookos