Laser & Optoelectronics Progress, Volume. 57, Issue 20, 201005(2020)

Classification of Airborne LiDAR Vegetation Piont Clouds Assisted by Aerial Images

Guo Wang1、*, Qiang Wang2, Zhenxin Zhang3, Bang Xu1, and Guangxing Zhao1
Author Affiliations
  • 1Institute of Civil Engineering, Henan University of Engineering, Zhengzhou, Henan 451191, China
  • 2Tianjin Geospatial Information Technology Engineering Center, Tianjin Normal University, Tianjin 300387, China
  • 3College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
  • show less
    Figures & Tables(5)
    Aerial image assisted airborne laser point cloud vegetation automatic classification process
    Point cloud and image of experimental area. (a) Point cloud dataset; (b) corresponding image
    K-means clustering results and point cloud overlay effect. (a) Clustering result; (b) stacking effect with point cloud after clustering
    Experimental effect of enlarged area. (a) Image enhancement effect after clustering; (b) fusion effect
    Superposition effect of classified vegetation and orthophoto
    Tools

    Get Citation

    Copy Citation Text

    Guo Wang, Qiang Wang, Zhenxin Zhang, Bang Xu, Guangxing Zhao. Classification of Airborne LiDAR Vegetation Piont Clouds Assisted by Aerial Images[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201005

    Download Citation

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

    Category: Image Processing

    Received: Jan. 19, 2020

    Accepted: Feb. 24, 2020

    Published Online: Oct. 17, 2020

    The Author Email: Wang Guo (wg@haue.edu.cn)

    DOI:10.3788/LOP57.201005

    Topics