A Hierarchical Machine Learning Approach for Multi-Level and Multi-Resolution 3D Point Cloud Classification

The recent years saw an extensive use of 3D point cloud data for heritage documentation, valorisation and visualisation. Although rich in metric quality, these 3D data lack structured information such as semantics and hierarchy between parts. In this context, the introduction of point cloud classifi...

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Hlavní autoři:	Simone Teruggi, Eleonora Grilli, Michele Russo, Francesco Fassi, Fabio Remondino
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-08-01
Edice:	Remote Sensing
Témata:	machine learning 3D architectural heritage multi-resolution point cloud classification Random Forest
On-line přístup:	https://www.mdpi.com/2072-4292/12/16/2598
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