A New Open-Source Software to Help Design Models for Automatic 3D Point Cloud Classification in Coastal Studies

This study introduces a new software, cLASpy_T, that helps design models for the automatic 3D point cloud classification of coastal environments. This software is based on machine learning algorithms from the scikit-learn library and can classify point clouds derived from LiDAR or photogrammetry. In...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Xavier Pellerin Le Bas, Laurent Froideval, Adan Mouko, Christophe Conessa, Laurent Benoit, Laurent Perez
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	machine learning classification coastal environment point cloud processing photogrammetry
Online Access:	https://www.mdpi.com/2072-4292/16/16/2891