High-Resolution Terrain Modeling Using Airborne LiDAR Data with Transfer Learning

High-Resolution Terrain Modeling Using Airborne LiDAR Data with Transfer Learning

This study presents a novel workflow for automated Digital Terrain Model (DTM) extraction from Airborne LiDAR point clouds based on a convolutional neural network (CNN), considering a transfer learning approach. The workflow consists of three parts: feature image generation, transfer learning using...

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Bibliographic Details
Main Authors: Huxiong Li, Weiya Ye, Jun Liu, Weikai Tan, Saied Pirasteh, Sarah Narges Fatholahi, Jonathan Li
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
digital terrain model
LiDAR
point cloud
deep learning
interpolation
Online Access:https://www.mdpi.com/2072-4292/13/17/3448

Internet

https://www.mdpi.com/2072-4292/13/17/3448

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