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Proceedings Paper

A new filtering algorithm for lidar data fused with image segmentation information
Author(s): Zhenghui Xu; Ling Liu; Xiaodong Liu
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Paper Abstract

The traditional LiDAR Point Cloud filtering and classification algorithms are mostly based on the elevation information, which are difficult to distinguish bare-ground and non-ground point with this single data source. In this article, fused image information such is used in the filtering process. Through the image segmentation, each segmentation object are extracted with the shape and spectral information, then these vector space objects and point cloud are matched and the decision tree is set up based on topology relationship for filtering. In order to test the performance of the proposed algorithm, test area with thick buildings and roads were applied, which could achieve a better filtering effect.

Paper Details

Date Published: 24 October 2011
PDF: 9 pages
Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 828610 (24 October 2011); doi: 10.1117/12.912808
Show Author Affiliations
Zhenghui Xu, China Highway Engineering Consulting Group Co. Ltd. (China)
China Trans Geomatics Co., Ltd. (China)
Ling Liu, China Highway Engineering Consulting Group Co. Ltd. (China)
China Trans Geomatics Co., Ltd. (China)
Xiaodong Liu, China Highway Engineering Consulting Group Co. Ltd. (China)
China Trans Geomatics Co., Ltd. (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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