Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks

Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks

Various classification methods have been developed to extract meaningful information from Airborne Laser Scanner (ALS) point clouds. However, the accuracy and the computational efficiency of the existing methods need to be improved, especially for the analysis of large datasets (e.g., at regional or...

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Bibliographic Details
Main Authors: Aldino Rizaldy, Claudio Persello, Caroline Gevaert, Sander Oude Elberink, George Vosselman
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Remote Sensing
Subjects:
LIDAR
DTM extraction
filtering
classification
deep learning
Convolutional Neural Network
Online Access:https://www.mdpi.com/2072-4292/10/11/1723

Internet

https://www.mdpi.com/2072-4292/10/11/1723

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