Individual tree segmentation for airborne LiDAR point cloud data using spectral clustering and supervoxel-based algorithm

WANG Weiwei; PANG Yong; DU Liming; ZHANG Zhongjun; LIANG Xiaojun

doi:10.11834/jrs.20220189

Remote Sensing Technology and Method | Views:1639Downloads:1922CSCD:12

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Individual tree segmentation for airborne LiDAR point cloud data using spectral clustering and supervoxel-based algorithm
- role：First author第一作者
- Affiliation：
  Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  College of Artificial Intelligence, Beijing Normal University, Beijing 100875, China
- Email：weiwei_wang@mail.bnu.edu.cn
- Introduction：王伟伟，研究方向为林业遥感。E-mail： weiwei_wang@mail.bnu.edu.cn
WANG Weiwei
13 * ,
- role：Corresponding author通信作者
- Affiliation：
  Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System of National Forestry and Grassland Administration, Beijing 100091, China
- Email：pangy@ifrit.ac.cn
- Introduction：庞勇，研究方向为林业遥感机理模型、激光雷达信号处理及林业应用、森林碳汇计量和变化监测。E-mail： pangy@ifrit.ac.cn
PANG Yong
12 * ,
- Affiliation：
  Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System of National Forestry and Grassland Administration, Beijing 100091, China
DU Liming
12 * ,
- Affiliation：
  College of Artificial Intelligence, Beijing Normal University, Beijing 100875, China
ZHANG Zhongjun
3 * ,
- Affiliation：
  Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System of National Forestry and Grassland Administration, Beijing 100091, China
LIANG Xiaojun
12 *
Vol. 26, Issue 8, Pages: 1650-1661(2022)
DOI：10.11834/jrs.20220189
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Individual tree segmentation for airborne LiDAR point cloud data using spectral clustering and supervoxel-based algorithm

WANG Weiwei

PANG Yong

DU Liming

ZHANG Zhongjun

LIANG Xiaojun

DOI：10.11834/jrs.20220189

Full Text(HTML)

Figs( 11 ) Tabs( 5 )

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