Results 1 to 10 of about 1,465,159 (304)
Remote Sensing, 2022 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,
Hua Sun, Liyong Fu, Kaisen Ma
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A Two-Stage Approach for Individual Tree Segmentation From TLS Point Clouds
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Individual tree segmentation in forest scenes provides a foundation for forest ecosystem modeling and biodiversity assessment applications. Existing approaches work well for cases where trees do not grow in layers.
Hongchao Fan, Zhen Dong, Lihong Chang
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A Self-Adaptive Mean Shift Tree-Segmentation Method Using UAV LiDAR Data
Remote Sensing, 2020 Unmanned aerial vehicles using light detection and ranging (UAV LiDAR) with high spatial resolution have shown great potential in forest applications because they can capture vertical structures of forests.
Lin Cao, Jianyong Lu, Yongtao Yu
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Remote Sensing, 2022 Accurate individual tree segmentation (ITS) is fundamental to forest management and to the studies of forest ecosystem. Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) shows advantages for ITS and tree height estimation at stand and ...
Jiaojun Zhu, Tian Gao, Fengyuan Yu
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Accurate individual tree segmentation is an important basis for the subsequent calculation and analysis of forestry parameters. However, rasterized canopy height model based methods often suffer from 3-D information loss due to the interpolation ...
Perpetual Akwensi +2 more
exaly +3 more sources
International Journal of Applied Earth Observations and Geoinformation, 2023 Automatic and accurate instance segmentation of street trees from point clouds is a fundamental task in urban green space research. Previous studies have achieved satisfactory tree segmentation results in simple scenarios. However, for challenging cases,
Tengping Jiang +5 more
doaj +1 more source
Individual Tree Segmentation from Side-View LiDAR Point Clouds of Street Trees Using Shadow-Cut
Remote Sensing, 2022 Segmentation of vegetation LiDAR point clouds is an important method for obtaining individual tree structure parameters. The current individual tree segmentation methods are mainly for airborne LiDAR point clouds, which use elevation information to form ...
Zhouyang Hua, Sheng Xu, Yingan Liu
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Mapping and characterizing selected canopy tree species at the Angkor World Heritage site in Cambodia using aerial data. [PDF]
PLoS ONE, 2015 At present, there is very limited information on the ecology, distribution, and structure of Cambodia's tree species to warrant suitable conservation measures.
Minerva Singh +3 more
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Remote Sensing, 2022 This paper describes a new method for detecting individual tree stems that was designed to perform well in the challenging hardwood-dominated, mixed-species forests common to the northeastern U.S., where canopy height-based methods have proven unreliable.
Jeff L. Hershey +4 more
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Estimating Tree Structural Parameters via Automatic Tree Segmentation From LiDAR Point Cloud Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 In this article, we proposed an automated tree segmentation method using light detection and ranging (LiDAR) point cloud data. Tree segmentation was performed accurately even with bumpy ground, and was validated on more than 1000 samples.
Kenta Itakura +2 more
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