Remote Sensing Applications and Decision Support

Automatic extraction of building boundaries using aerial LiDAR data

[+] Author Affiliations
Ruisheng Wang

University of Calgary, Schulich School of Engineering, Department of Geomatics Engineering, 2500 University Drive NW, Calgary, T2N 1N4, Canada

Yong Hu

PCI Geomatics, 90 Allstate Parkway, Suite 501, Markham, Ontario, L3R 6H3, Canada

Huayi Wu

Wuhan University, LIESMARS, 129 Luoyu Road, Wuhan, China

Jian Wang

Shandong University of Science and Technology, College of Geomatics, 579 Qian Gang Wan Road, Qingdao, Shandong 266590, China

J. Appl. Remote Sens. 10(1), 016022 (Mar 08, 2016). doi:10.1117/1.JRS.10.016022
History: Received August 26, 2015; Accepted February 17, 2016
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Abstract.  Building extraction is one of the main research topics of the photogrammetry community. This paper presents automatic algorithms for building boundary extractions from aerial LiDAR data. First, segmenting height information generated from LiDAR data, the outer boundaries of aboveground objects are expressed as closed chains of oriented edge pixels. Then, building boundaries are distinguished from nonbuilding ones by evaluating their shapes. The candidate building boundaries are reconstructed as rectangles or regular polygons by applying new algorithms, following the hypothesis verification paradigm. These algorithms include constrained searching in Hough space, enhanced Hough transformation, and the sequential linking technique. The experimental results show that the proposed algorithms successfully extract building boundaries at rates of 97%, 85%, and 92% for three LiDAR datasets with varying scene complexities.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Ruisheng Wang ; Yong Hu ; Huayi Wu and Jian Wang
"Automatic extraction of building boundaries using aerial LiDAR data", J. Appl. Remote Sens. 10(1), 016022 (Mar 08, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.016022


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