Results 1 to 10 of about 29,066 (111)

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

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,
Kaisen Ma, Zhenxiong Chen, Liyong Fu, Wanli Tian, Fugen Jiang, Jing Yi, Zhi Du, Hua Sun   +7 more
doaj   +3 more sources

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.
Lihong Chang, Hongchao Fan, Ningning Zhu, Zhen Dong   +3 more
doaj   +3 more sources

An Individual Tree Segmentation Method Based on Watershed Algorithm and Three-Dimensional Spatial Distribution Analysis From Airborne LiDAR Point Clouds

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 ...
Juntao Yang, Zhizhong Kang, Sai Cheng, Zhou Yang, Perpetual Hope Akwensi   +4 more
doaj   +3 more sources

A New Strategy for Individual Tree Detection and Segmentation from Leaf-on and Leaf-off UAV-LiDAR Point Clouds Based on Automatic Detection of Seed Points

Remote Sensing, 2023
Accurate and efficient estimation of forest volume or biomass is critical for carbon cycles, forest management, and the timber industry. Individual tree detection and segmentation (ITDS) is the first and key step to ensure the accurate extraction of ...
Yihan Pu, Dandan Xu, Haobin Wang, Xin Li, Xia Xu   +4 more
doaj   +3 more sources

Individual Tree Segmentation Based on Seed Points Detected by an Adaptive Crown Shaped Algorithm Using UAV-LiDAR Data

Remote Sensing
Unmanned aerial vehicle–light detection and ranging (UAV-LiDAR) provides a convenient and economical means of forest data acquisition that can penetrate canopy gaps to obtain abundant ground information, offering huge potential in forest inventory ...
Jiao Yu, Lei Lei, Zhenhong Li
doaj   +3 more sources

Individual Tree Segmentation and Tree Height Estimation Using Leaf-Off and Leaf-On UAV-LiDAR Data in Dense Deciduous Forests

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 ...
Qingda Chen, Tian Gao, Jiaojun Zhu, Fayun Wu, Xiufen Li, Deliang Lu, Fengyuan Yu   +6 more
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An Improved Method for Individual Tree Segmentation in Complex Urban Scenes Based on Using Multispectral LiDAR by Deep Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Urban trees, as a characteristic element of the urban ecosystem, exert significant influences on climate supervision. Therefore, the extraction of individual trees in urban areas holds significant research value.
Jian Yang, Ruilin Gan, Binhan Luo, Ao Wang, Shuo Shi, Lin Du   +5 more
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Individual Tree Segmentation Method Based on Mobile Backpack LiDAR Point Clouds [PDF]

Sensors, 2021
Henrique Lorenzo, Pedro Arias, Joaquín Martínez-Sánchez   +2 more
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YOLO-SegNet: A Method for Individual Street Tree Segmentation Based on the Improved YOLOv8 and the SegFormer Network

Agriculture
In urban forest management, individual street tree segmentation is a fundamental method to obtain tree phenotypes, which is especially critical. Most existing tree image segmentation models have been evaluated on smaller datasets and lack experimental ...
Tingting Yang, Suyin Zhou, Aijun Xu, Junhua Ye, Jianxin Yin   +4 more
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INDIVIDUAL TREE EXTRACTION FROM UAV LIDAR POINT CLOUDS BASED ON SELF-ADAPTIVE MEAN SHIFT SEGMENTATION [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
Unman aerial vehicle (UAV) LiDAR has been widely used in the field of forestry. Individual tree extraction is a key step for forest inventory. Although many individual tree extraction methods have been proposed, the individual tree extraction accuracy is
Z. Hui, N. Li, Y. Xia, P. Cheng, Y. He
doaj   +1 more source