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

Zuo Zhiquan1、*, Zhang Zuxun2, and Zhang Jianqing2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    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.

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: Nov. 7, 2011

    Accepted: --

    Published Online: Feb. 22, 2012

    The Author Email: Zuo Zhiquan (zqzuo@casm.ac.cn)

    DOI:10.3788/cjl201239.0414001

    Topics