Filtering Stems and Branches from Terrestrial Laser Scanning Point Clouds Using Deep 3-D Fully Convolutional Networks

Filtering Stems and Branches from Terrestrial Laser Scanning Point Clouds Using Deep 3-D Fully Convolutional Networks

Terrestrial laser scanning (TLS) can produce precise and detailed point clouds of forest environment, thus enabling quantitative structure modeling (QSM) for accurate tree morphology and wood volume allocation. Applying QSM to plot-scale wood delineation is highly dependent on wood visibility from f...

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Bibliographic Details
Main Authors: Zhouxin Xi, Chris Hopkinson, Laura Chasmer
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Remote Sensing
Subjects:
TLS
QSM
CNN
FCN
deep learning
3-D point clouds
forest
segmentation
tree structure
Online Access:http://www.mdpi.com/2072-4292/10/8/1215

Internet

http://www.mdpi.com/2072-4292/10/8/1215

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