Feature extraction from vehicle-borne laser scanning data

Yonglin Shen; Yehua Sheng; Ka Zhang; Zhengmin Tang; Shijiang Yan

doi:10.1117/12.814958

29 December 2008 Feature extraction from vehicle-borne laser scanning data

Yonglin Shen, Yehua Sheng, Ka Zhang, Zhengmin Tang, Shijiang Yan

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72850R (2008) https://doi.org/10.1117/12.814958
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

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.

Citation Download Citation

Yonglin Shen, Yehua Sheng, Ka Zhang, Zhengmin Tang, and Shijiang Yan "Feature extraction from vehicle-borne laser scanning data", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72850R (29 December 2008); https://doi.org/10.1117/12.814958

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