Research on a Single-Tree Point Cloud Segmentation Method Based on UAV Tilt Photography and Deep Learning Algorithm

Developing a robust point cloud segmentation algorithm for individual trees from an amount of point cloud data has great significance for tracking tree changes. This method can measure the size, growth, and mortality of individual trees to track and understand forest carbon storage and variation. Tr...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2020, Vol.13, p.4111-4120
Hauptverfasser:	Hu, Xiaoyu, Li, Dan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Carbon capture and storage Carbon sequestration Data acquisition Deep learning Efficient deep learning algorithm Feature extraction Forestry Forests Image processing Image segmentation Laser radar Learning algorithms Machine learning matching point cloud Measurement methods Motion perception Photography Polls & surveys Remote sensing Surveying Surveys Teaching methods Three-dimensional displays Tracking tree segmentation Trees UAV Vegetation
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