Machine Learning Generalisation across Different 3D Architectural Heritage
The use of machine learning techniques for point cloud classification has been investigated extensively in the last decade in the geospatial community, while in the cultural heritage field it has only recently started to be explored. The high complexity and heterogeneity of 3D heritage data, the div...
Main Authors: | Eleonora Grilli, Fabio Remondino |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/9/6/379 |
Similar Items
-
A Hierarchical Machine Learning Approach for Multi-Level and Multi-Resolution 3D Point Cloud Classification
by: Simone Teruggi, et al.
Published: (2020-08-01) -
Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation
by: Francesca Matrone, et al.
Published: (2020-09-01) -
A Multilevel Multiresolution Machine Learning Classification Approach: A Generalization Test on Chinese Heritage Architecture
by: Kai Zhang, et al.
Published: (2022-12-01) -
The Point Cloud Semantic Segmentation Method for the Ming and Qing Dynasties’ Official-Style Architecture Roof Considering the Construction Regulations
by: Youqiang Dong, et al.
Published: (2022-03-01) -
Point cloud optimization based on 3D geometric features for architectural heritage modelling
by: Pablo Rodríguez-Gonzálvez, et al.
Published: (2021-06-01)