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Found 3 papers, 1 papers with code
Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans
The analysis of the multi-layer structure of wild forests is an important challenge of automated large-scale forestry.
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning
We propose a new deep learning-based method for estimating the occupancy of vegetation strata from airborne 3D LiDAR point clouds.
Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds
We propose a new deep learning-based method for estimating the occupancy of vegetation strata from 3D point clouds captured from an aerial platform.
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