A hybrid method for individual tree detection in broadleaf forests based on UAV-LiDAR data and multistage 3D structure analysis
S Deng, S **g, H Zhao - Forests, 2024 - mdpi.com
Individual tree detection and segmentation in broadleaf forests have always been great
challenges due to the overlap** crowns, irregular crown shapes, and multiple peaks in …
challenges due to the overlap** crowns, irregular crown shapes, and multiple peaks in …
Performance of individual tree segmentation algorithms in forest ecosystems using UAV LiDAR data
Forests are crucial for biodiversity, climate regulation, and hydrological cycles, requiring
sustainable management due to threats like deforestation and climate change. Traditional …
sustainable management due to threats like deforestation and climate change. Traditional …
[HTML][HTML] A new unified framework for supervised 3D crown segmentation (TreeisoNet) using deep neural networks across airborne, UAV-borne, and terrestrial laser …
Z ** Fruit Trees Based on Unmanned Aerial Vehicle LiDAR
Utilizing LiDAR sensors mounted on unmanned aerial vehicles (UAVs) to acquire three-
dimensional data of fruit orchards and extract precise information about individual trees can …
dimensional data of fruit orchards and extract precise information about individual trees can …