Terrain-Net: A Highly-Efficient, Parameter-Free, and Easy-to-Use Deep Neural Network for Ground Filtering of UAV LiDAR Data in Forested Environments

Terrain-Net: A Highly-Efficient, Parameter-Free, and Easy-to-Use Deep Neural Network for Ground Filtering of UAV LiDAR Data in Forested Environments

In recent years, a rise in interest in using Unmanned Aerial Vehicles (UAV) with LiDAR (Light Detection and Ranging) to capture the 3D structure of forests for forestry and ecosystem monitoring applications has been witnessed. Since the terrain is an essential basis for the vertical structure modeli...

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Bibliographic Details
Main Authors: Bowen Li, Hao Lu, Han Wang, Jianbo Qi, Gang Yang, Yong Pang, Haolin Dong, Yining Lian
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
UAV
LiDAR
ground filtering
deep learning
forestry
Online Access:https://www.mdpi.com/2072-4292/14/22/5798

Internet

https://www.mdpi.com/2072-4292/14/22/5798

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