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Deep Learning Based 3D Point Cloud Regression for Estimating Forest
  Biomass

Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass

21 December 2021
Stefan Oehmcke
Leiyuan Li
Katerina Trepekli
J. Revenga
T. Nord‐Larsen
Fabian Gieseke
Christian Igel
    3DPC
ArXivPDFHTML

Papers citing "Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass"

3 / 3 papers shown
Title
Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion
  and UV GAN
Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GAN
Lei Li
Tianfang Zhang
Fabian Gieseke
Christian Igel
CVBM
16
19
0
18 Dec 2022
High carbon stock mapping at large scale with optical satellite imagery
  and spaceborne LIDAR
High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR
Nico Lang
Konrad Schindler
Jan Dirk Wegner
27
14
0
15 Jul 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,087
0
02 Dec 2016
1