D-Net: A Density-Based Convolutional Neural Network for Mobile LiDAR Point Clouds Classification in Urban Areas

D-Net: A Density-Based Convolutional Neural Network for Mobile LiDAR Point Clouds Classification in Urban Areas

The 3D semantic segmentation of a LiDAR point cloud is essential for various complex infrastructure analyses such as roadway monitoring, digital twin, or even smart city development. Different geometric and radiometric descriptors or diverse combinations of point descriptors can extract objects from...

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Bibliographic Details
Main Authors: Mahdiye Zaboli, Heidar Rastiveis, Benyamin Hosseiny, Danesh Shokri, Wayne A. Sarasua, Saeid Homayouni
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
point cloud classification
deep learning
voxelization
automated object detection
mobile laser scanning
Online Access:https://www.mdpi.com/2072-4292/15/9/2317

Internet

https://www.mdpi.com/2072-4292/15/9/2317

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