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Proceedings Paper

Feature extraction from vehicle-borne laser scanning data
Author(s): Yonglin Shen; Yehua Sheng; Ka Zhang; Zhengmin Tang; Shijiang Yan
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Paper Abstract

In this paper we focus on feature extraction method of complex objects from range data captured by vehicle-borne laser scanning system. In our study, we classified the objects obtained by laser scanner into three types: road surface, building facade and free sharps which consisted by scattered points. We have developed the corresponding methods for the extraction of those objects. The DSCD (Density Statistics with Conformal Division) for road surface extraction and DSEI (Density Statistics with Equal Interval) for building facade extraction. Especially, our experiment has shown that the MST (Minimum Spanning Tree) is a good way for scattered points classification, and the free sharps are extracted with high automation and efficiency.

Paper Details

Date Published: 29 December 2008
PDF: 10 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72850R (29 December 2008); doi: 10.1117/12.814958
Show Author Affiliations
Yonglin Shen, Nanjing Normal Univ. (China)
Yehua Sheng, Nanjing Normal Univ. (China)
Ka Zhang, Nanjing Normal Univ. (China)
Zhengmin Tang, Nanjing Normal Univ. (China)
Shijiang Yan, Nanjing Normal Univ. (China)


Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)

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