Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive Review

Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive Review

In the cultural heritage field, point clouds, as important raw data of geomatics, are not only three-dimensional (3D) spatial presentations of 3D objects but they also have the potential to gradually advance towards an intelligent data structure with scene understanding, autonomous cognition, and a...

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Bibliographic Details
Main Authors:	Su Yang, Miaole Hou, Songnian Li
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Remote Sensing
Subjects:	point cloud semantic segmentation classification cultural heritage machine learning deep learning
Online Access:	https://www.mdpi.com/2072-4292/15/3/548

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