Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans

Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans

25 April 2022

Loic Landrieu

Papers citing "Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans"

8 / 8 papers shown

Title
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning E. Kalinicheva Loic Landrieu Clement Mallet N. Chehata 3DPC AI4CE 45 5 0 20 Jan 2022
Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds E. Kalinicheva Loic Landrieu Clement Mallet N. Chehata 3DV 3DPC 6 2 0 27 Dec 2021
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles Nico Lang Nikolai Kalischek J. Armston Konrad Schindler R. Dubayah Jan Dirk Wegner 21 161 0 05 Mar 2021
Deep Learning for 3D Point Clouds: A Survey Yulan Guo Hanyun Wang Qingyong Hu Hao Liu Li Liu Bennamoun 3DPC 69 1,662 0 27 Dec 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 175 4,303 0 06 Mar 2019
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 292 11,000 0 07 Jun 2017
Forest understory trees can be segmented accurately within sufficiently dense airborne laser scanning point clouds Hamid Hamraz M. Contreras Jun Zhang 16 70 0 17 Feb 2017
A robust approach for tree segmentation in deciduous forests using small-footprint airborne LiDAR data Hamid Hamraz M. Contreras Jun Zhang 13 80 0 01 Jan 2017