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Generating synthetic photogrammetric data for training deep learning
  based 3D point cloud segmentation models

Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models

21 August 2020
Meida Chen
Andrew Feng
Kyle McCullough
P. Prasad
R. McAlinden
L. Soibelman
    3DPC
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Papers citing "Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models"

2 / 2 papers shown
Title
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point
  Cloud Dataset
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset
Meida Chen
Qingyong Hu
Zifan Yu
Hugues Thomas
Andrew Feng
Yu Hou
Kyle McCullough
Fengbo Ren
L. Soibelman
SLR
AI4TS
16
63
0
17 Mar 2022
Ground material classification for UAV-based photogrammetric 3D data A
  2D-3D Hybrid Approach
Ground material classification for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach
Meida Chen
Andrew Feng
Yu Hou
Kyle McCullough
P. Prasad
L. Soibelman
17
3
0
24 Sep 2021
1