3D Point Cloud for Cultural Heritage: A Scientometric Survey

Three-dimensional point cloud has been widely used in the cultural heritage field in the last two decades, gaining attention from both academic and industry communities. A large number of scientific papers have been published concerning this topic, which covers a wide range of journals, countries, a...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2022-11, Vol.14 (21), p.5542
Main Authors: Yang, Su, Xu, Shishuo, Huang, Wei
Format: Article
Language:English
Subjects:
Archaeology
Architecture
Building information modeling
CiteSpace
Cocitation
Cooperation
Cultural heritage
Cultural resources
Documents
Lasers
Network analysis
Nodes
Photogrammetry
point cloud
Registration
Remote sensing
Research facilities
Research institutions
Science
scientometric
Scientometrics
Software
Surveys
Three dimensional models
Trends
Unmanned aerial vehicles
visual analysis
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Summary:Three-dimensional point cloud has been widely used in the cultural heritage field in the last two decades, gaining attention from both academic and industry communities. A large number of scientific papers have been published concerning this topic, which covers a wide range of journals, countries, and disciplines. There has been no comprehensive and systematic survey of recent literature performed in a scientometric way based on the complex network analysis methods. In this work, we extracted the terms (i.e., noun phrases included in the title, abstract and keywords), the documents, the countries that the research institutions are located in, and the categories that the literature belongs to from the Web of Science database to compose a term co-occurrence network, document co-citation network, collaborative country network and category co-occurrence network using CiteSpace software. Through visualizing and analyzing those networks, we identified the research hotspots, landmark literature, national collaboration, interdisciplinary patterns as well as the emerging trends through assessing the central nodes and the nodes with strong citation bursts. This work not only provides a structured view on state-of-art literature, but also reveals the future trends of employing 3D point cloud data for cultural heritage, aiding researchers carry out further research in this area.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14215542