See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning
Determining tree species composition in natural forests is essential for effective forest
management. Species classification at the individual tree level requires fine-scale traits …
management. Species classification at the individual tree level requires fine-scale traits …
Stem–leaf segmentation and phenotypic trait extraction of individual maize using terrestrial LiDAR data
Accurate and high throughput extraction of crop phenotypic traits, as a crucial step of
molecular breeding, is of great importance for yield increasing. However, automatic stem …
molecular breeding, is of great importance for yield increasing. However, automatic stem …
A novel approach for the detection of standing tree stems from plot-level terrestrial laser scanning data
Tree stem detection is a key step toward retrieving detailed stem attributes from terrestrial
laser scanning (TLS) data. Various point-based methods have been proposed for the stem …
laser scanning (TLS) data. Various point-based methods have been proposed for the stem …
A geometric method for wood-leaf separation using terrestrial and simulated lidar data
Terrestrial light detection and ranging (lidar) can be used to record the three-dimensional
structures of trees. Wood-leaf separation, which aims to classify lidar points into wood and …
structures of trees. Wood-leaf separation, which aims to classify lidar points into wood and …
A novel and efficient method for wood–leaf separation from terrestrial laser scanning point clouds at the forest plot level
With the increasing use of terrestrial laser scanning (TLS) technology in the field of forest
ecology, a large number of studies have been carried out on the separation of wood and …
ecology, a large number of studies have been carried out on the separation of wood and …
Wood and leaf separation from terrestrial LiDAR point clouds based on mode points evolution
To improve the accuracy of wood and leaf points classification for individual tree, this paper
proposed a separation method based on mode points evolution from terrestrial LiDAR point …
proposed a separation method based on mode points evolution from terrestrial LiDAR point …
[HTML][HTML] Influence of phenology on waveform features in deciduous and coniferous trees in airborne LiDAR
Abstract Information on forest structure is vital for sustainable forest management. Currently,
airborne LiDAR remote sensing has been well established as an effective tool to …
airborne LiDAR remote sensing has been well established as an effective tool to …
An improved convolution neural network-based model for classifying foliage and woody components from terrestrial laser scanning data
Separating foliage and woody components can effectively improve the accuracy of
simulating the forest eco-hydrological processes. It is still challenging to use deep learning …
simulating the forest eco-hydrological processes. It is still challenging to use deep learning …
Separating tree photosynthetic and non-photosynthetic components from point cloud data using dynamic segment merging
Many biophysical forest properties such as wood volume and leaf area index (LAI) require
prior knowledge on either photosynthetic or non-photosynthetic components. Laser …
prior knowledge on either photosynthetic or non-photosynthetic components. Laser …
Evaluation of automated pipelines for tree and plot metric estimation from TLS data in tropical forest areas
Abstract Background and Aims Terrestrial LiDAR scanning (TLS) data are of great interest in
forest ecology and management because they provide detailed 3-D information on tree …
forest ecology and management because they provide detailed 3-D information on tree …