Machine Learning-Based Supervised Classification of Point Clouds Using Multiscale Geometric Features

Machine Learning-Based Supervised Classification of Point Clouds Using Multiscale Geometric Features

3D scene classification has become an important research field in photogrammetry, remote sensing, computer vision and robotics with the widespread usage of 3D point clouds. Point cloud classification, called semantic labeling, semantic segmentation, or semantic classification of point clouds is a ch...

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Bibliographic Details
Main Authors: Muhammed Enes Atik, Zaide Duran, Dursun Zafer Seker
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:ISPRS International Journal of Geo-Information
Subjects:
machine learning
point cloud
geometric features
multiscale
classification
LiDAR
Online Access:https://www.mdpi.com/2220-9964/10/3/187

Internet

https://www.mdpi.com/2220-9964/10/3/187

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