Chinese Journal of Lasers, Volume. 39, Issue 4, 414001(2012)
Classification of LiDAR Point Clouds for Urban Area Based on Multi-Echo Region Ratio and Recognition Topology Model
An automatic classification method for urban area lidar point clouds is proposed. A segmentation algorithm named topology heuristic segmentation to process regular grid height image is used. A separation for terrain objects and off-terrain objects is carried out with Otsu clustering algorithm and adjacent regions is merged. The typical off-terrain objects could be detected by using topological models, the tree can also be detected by multi-echo ratio of region. An experiment is done with a typical urban cloud points, the result shows that the algorithm has good classification accuracy and strong practical value.
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Zuo Zhiquan, Zhang Zuxun, Zhang Jianqing. Classification of LiDAR Point Clouds for Urban Area Based on Multi-Echo Region Ratio and Recognition Topology Model[J]. Chinese Journal of Lasers, 2012, 39(4): 414001
Category: Remote Sensing and Sensors
Received: Nov. 7, 2011
Accepted: --
Published Online: Feb. 22, 2012
The Author Email: Zuo Zhiquan (zqzuo@casm.ac.cn)