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Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with
  Deep Learning

Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning

International Journal of Applied Earth Observation and Geoinformation (JAEOG), 2022
20 January 2022
E. Kalinicheva
Loic Landrieu
Clement Mallet
N. Chehata
    3DPCAI4CE
ArXiv (abs)PDFHTML

Papers citing "Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning"

2 / 2 papers shown
Deep Imbalanced Multi-Target Regression: 3D Point Cloud Voxel Content Estimation in Simulated Forests
Deep Imbalanced Multi-Target Regression: 3D Point Cloud Voxel Content Estimation in Simulated Forests
Amirhossein Hassanzadeh
Bartosz Krawczyk
Michael Saunders
Rob Wible
Keith Krause
Dimah Dera
Jan van Aardt
3DPC
245
0
0
16 Nov 2025
Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans
Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans
E. Kalinicheva
Loic Landrieu
Clement Mallet
N. Chehata
3DPC3DV
166
9
0
25 Apr 2022
1
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