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Proceedings Paper

Automatic building edge extraction from lidar data based on images segmentation
Author(s): Wen Ma; Jian-ping Yue; Shuang Cao
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Paper Abstract

LIDAR (Light Detection And Ranging) has become a reliable technique for the data collection of the earth surface. Building extraction based on LIDAR data is one of the important applications. The image edge is one important feature of a building, which can reflect the most valuable information of the image. And it can roughly describe the characteristics of the building. So building edge extraction from LIDAR data is of great significance. This paper presents an automatic extraction method of building edges from LIDAR data, using image segmentation technology. In the first stage, the LIDAR point cloud data are converted into DSM images. In the second stage, a threshold selection method based on the transition region determination is used to segment the DSM images. Finally, the building edges are extracted on the segmented image. The results obtained on the data sets with different ground point density, gathered over the town of Xuzhou (China) with TopScan airborne laser scanning system, are shown to illustrate the effectiveness of the proposed approach.

Paper Details

Date Published: 24 October 2011
PDF: 6 pages
Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 828613 (24 October 2011); doi: 10.1117/12.912831
Show Author Affiliations
Wen Ma, Hohai Univ. (China)
Nanjing Univ. of Information Science & Technology (China)
Jian-ping Yue, Nanjing Univ. of Information Science & Technology (China)
Shuang Cao, Hohai Univ. (China)
Nanjing Univ. of Information Science & Technology (China)


Published in SPIE Proceedings Vol. 8286:
International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications
Jonathan Li, Editor(s)

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