Results 71 to 80 of about 29,125 (157)

Research on Individual Tree Canopy Segmentation of Camellia oleifera Based on a UAV-LiDAR System

Agriculture
In consideration of the limited accuracy of individual tree canopy segmentation algorithms due to the diverse canopy structure and complex environments in mountainous and hilly areas, this study optimized the segmentation parameters of three algorithms ...
Liwan Wang, Ruirui Zhang, Linhuan Zhang, Tongchuan Yi, Danzhu Zhang, Aobin Zhu   +5 more
doaj   +1 more source

Individual tree segmentation in occluded complex forest stands through ellipsoid directional searching and point compensation

Forest Ecosystems
Terrestrial laser scanning (TLS) accurately captures tree structural information and provides prerequisites for tree-scale estimations of forest biophysical attributes.
Qingjun Zhang, Shangshu Cai, Xinlian Liang   +2 more
doaj   +1 more source

An adaptive method for individual tree segmentation synthesizing canopy cover and competitive mechanism using UAV data

Ecological Informatics
Accurate individual tree segmentation (ITS) is crucial for precision forestry and small-scale carbon sink accounting; however, canopy overlap in complex forest stands—particularly in northern plantations, presents substantial challenges for conducting ...
Qiyu Guo, Kangning Li, Xiaojun Qiao, Jinbao Jiang, Yinpeng Zhao   +4 more
doaj   +1 more source

Individual-Tree Segmentation and Extraction based on LiDAR Point Cloud Data

International Journal on Advanced Science, Engineering and Information Technology
To extract forest parameters and individual tree information accurately and efficiently from plantations, this study focuses on a plantation of Pinus tabulaeformis in Chongli District in China. Utilizing LiDAR point cloud data and ground-measured data from 30 plots, we examined the sensitivity of individual tree segmentation to key parameters by ...
Muhamad Taufik Abdullah, Xiaofeng Liu, Mas Rina Mustaffa, Nurul Amelina Nasharuddin   +3 more
openaire   +1 more source

Snow-Covered Filter-Enhanced Canopy Surface Points: A Lightweight and Efficient Framework for Individual Tree Segmentation from LiDAR Data

Remote Sensing
As fundamental units of forest ecosystems, individual trees provide essential structural characteristics for forest resource assessment. However, existing LiDAR-based individual tree segmentation methods are often limited by a trade-off between ...
Bin Wang, Guangqing Xie, Ning Li, Ertao Gao, Guoqing Zhou, Cheng Wang, Haoyu Wang   +6 more
doaj   +1 more source

Self-Supervised Learning for Precise Individual Tree Segmentation in Airborne LiDAR Point Clouds

IEEE Access
Segmenting individual trees from airborne LiDAR point cloud data is critical for forest management, urban planning, and ecological monitoring but remains challenging due to complex natural environments, diverse tree architectures, and dense canopies.
Lama Shaheen, Bader Rasheed, Manuel Mazzara   +2 more
openaire   +2 more sources

Performance of Individual Tree Segmentation Algorithms in Forest Ecosystems Using UAV LiDAR Data

Drones
Forests are crucial for biodiversity, climate regulation, and hydrological cycles, requiring sustainable management due to threats like deforestation and climate change. Traditional forest monitoring methods are labor-intensive and limited, whereas UAV LiDAR offers detailed three-dimensional data on forest structure and extensive coverage.
Javier Marcello, María Spínola, Laia Albors, Ferran Marqués, Dionisio Rodríguez-Esparragón, Francisco Eugenio   +5 more
openaire   +4 more sources

Point-Cloud Segmentation for Overlapping Fruit-Tree Canopies Using LiDAR to Improve Individual-Tree Data Quality in Precision Orchards

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
AI-based precision orchard management relies on tree-level 3-D information acquired by LiDAR sensors mounted on autonomous ground vehicles. However, canopy overlapping is a practical difficulty in the digital modeling of fruit trees, and it reduces the ...
Hangxing Zhao, Shuyu Chen, Shenghui Yang, Huazhuang Tang, Zhetao Xu, Yongjun Zheng, Hongfu Chen, Yaxiong Wang, Feng Kang   +8 more
doaj   +1 more source

Individual tree segmentation from UAS Lidar data based on hierarchical filtering and clustering

International Journal of Digital Earth
ABSTRACTAccurate Individual Tree Segmentation (ITS) is fundamental to fine-scale forest structure and management studies. Light detection and ranging (Lidar) from Unoccupied Aerial Systems (UAS) has shown strengths in ITS and tree parameter estimation at stand and landscape scales.
Zhang C, Song C, Zaforemska A, Zhang J, Gaulton R, Dai W, Xiao W   +6 more
openaire   +3 more sources

Mesh Surface And Morphological Hierarchies For Individual Tree Detection And Segmentation From LiDAR Data

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
This paper presents a novel and efficient individual tree detection and segmentation method for LiDAR point clouds. We rely on a surface model of the forest to find tree tops in the canopy. Efficient connected component filtering is used to filter the surface model, detect and segment individual trees by tuning a single physically interpretable ...
Florent Guiotte, Joel Kostensalo, Jorma Laaksonen   +2 more
openaire   +4 more sources