Performance and Sensitivity of Individual Tree Segmentation Methods for UAV-LiDAR in Multiple Forest Types

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成果类型：

期刊论文

作者：

Ma, Kaisen;Chen, Zhenxiong;Fu, Liyong;Tian, Wanli;Jiang, Fugen;...

通讯作者：

Sun, H

作者机构：

[Ma, Kaisen; Sun, Hua; Fu, Liyong; Jiang, Fugen; Yi, Jing] Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.

[Ma, Kaisen; Sun, Hua; Jiang, Fugen; Yi, Jing] Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China.

[Ma, Kaisen; Sun, Hua; Jiang, Fugen; Yi, Jing] Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Peoples R China.

[Chen, Zhenxiong; Du, Zhi] Cent South Inventory & Planning Inst Natl Forestr, Dept Forest Inventory & Monitoring, Changsha 410004, Peoples R China.

[Fu, Liyong] Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China.

通讯机构：

[Sun, H ] C

Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.

Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China.

Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Peoples R China.

语种：

英文

关键词：

LiDAR;forest investigation;individual tree segmentation;tree detection;tree height extraction

期刊：

Remote Sensing

ISSN：

2072-4292

年：

2022

卷：

期：

DOI：

10.3390/rs14020298

基金类别：

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31971578]; Scientific Research Fund of Changsha Science and Technology Bureau [kq2004095]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [17A225]; Hunan Province Innovation Foundation for Post-graduates [CX20200705]

机构署名：

本校为第一且通讯机构

院系归属：

林学院

摘要：

Using unmanned aerial vehicles (UAV) as platforms for light detection and ranging (LiDAR) sensors offers the efficient operation and advantages of active remote sensing; hence, UAV-LiDAR plays an important role in forest resource investigations. However, high-precision individual tree segmentation, in which the most appropriate individual tree segmentation method and the optimal algorithm parameter settings must be determined, remains highly challenging when applied to multiple forest types. This article compared the applicability of methods based on a canopy height model (CHM) and a normalize...

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Performance and Sensitivity of Individual Tree Segmentation Methods for UAV-LiDAR in Multiple Forest Types

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