A Deep Learning Time Series Approach for Leaf and Wood Classification from Terrestrial LiDAR Point Clouds

A Deep Learning Time Series Approach for Leaf and Wood Classification from Terrestrial LiDAR Point Clouds

The accurate separation between leaf and woody components from terrestrial laser scanning (TLS) data is vital for the estimation of leaf area index (LAI) and wood area index (WAI). Here, we present the application of deep learning time series separation of leaves and wood from TLS point clouds colle...

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Bibliographic Details
Main Authors: Tao Han, Gerardo Arturo Sánchez-Azofeifa
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
classification
time series
point clouds
geometric feature
deep learning
Online Access:https://www.mdpi.com/2072-4292/14/13/3157

Internet

https://www.mdpi.com/2072-4292/14/13/3157

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