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A robust approach for tree segmentation in deciduous forests using
  small-footprint airborne LiDAR data

A robust approach for tree segmentation in deciduous forests using small-footprint airborne LiDAR data

1 January 2017
Hamid Hamraz
M. Contreras
Jun Zhang
ArXiv (abs)PDFHTML

Papers citing "A robust approach for tree segmentation in deciduous forests using small-footprint airborne LiDAR data"

4 / 4 papers shown
Title
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
66
8
0
25 Apr 2022
Deep learning for conifer/deciduous classification of airborne LiDAR 3D
  point clouds representing individual trees
Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees
Hamid Hamraz
Nathan Jacobs
M. Contreras
Chase Clark
3DPC
71
102
0
24 Feb 2018
Forest understory trees can be segmented accurately within sufficiently
  dense airborne laser scanning point clouds
Forest understory trees can be segmented accurately within sufficiently dense airborne laser scanning point clouds
Hamid Hamraz
M. Contreras
Jun Zhang
46
70
0
17 Feb 2017
Vertical stratification of forest canopy for segmentation of under-story
  trees within small-footprint airborne LiDAR point clouds
Vertical stratification of forest canopy for segmentation of under-story trees within small-footprint airborne LiDAR point clouds
Hamid Hamraz
M. Contreras
Jun Zhang
3DPC
65
84
0
31 Dec 2016
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