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
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    References(14)

    [6] Habib A, Schenk T. A new approach for matching surfaces from laser scanners and optical sensors[J]. International Archives of Photogrammetry and Remote Sensing, 32, 68-75(1999).

    [8] Zeng Y, Su X B[J]. A new method to generate ADS orthophoto image Bulletin of Surveying and Mapping, 2018, 142-147.

    [9] Chen H, Guo G M. Acquiring orthoimage with samll multi-rotor aerial drone[J]. Journal of Nanyang Normal University, 18, 47-50(2019).

    [13] Shang D S, Ma D Y, Gao Z F et al. Data fusion of point cloud and aerial image derived from LiDAR system[J]. Engineering of Surveying and Mapping, 21, 18-21(2012).

    [14] Wang G, Jiang R B, Li Y Q[J]. Filtering method of urban airborne LiDAR point clouds based on adaptive multi-grid size Geotechnical Investigation & Surveying, 2016, 55-58.

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    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

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    Paper Information

    Category: Image Processing

    Received: Jan. 19, 2020

    Accepted: Feb. 24, 2020

    Published Online: Oct. 17, 2020

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

    DOI:10.3788/LOP57.201005

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