Exploring geospatial digital twins: a novel panorama-based method with enhanced representation of virtual geographic scenes in Virtual Reality (VR)
Author:
Affiliation:
1. Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China
2. China Railway Design Corporation, Tianjin, China
Funder
National Natural Science Foundation of China
the Research on Key Technologies of Intelligent Railway Construction Based on Railway Information Modeling
China Postdoctoral Science Foundation
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/13658816.2024.2386064
Reference51 articles.
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3. Bradski, G., and Kaehler, A., 2008. Learning OpenCV: Computer vision with the OpenCV library. Sebastopol, CA: O’Reilly Media, Inc.
4. Virtual geographic environments (VGEs): originating from or beyond virtual reality (VR)?;Chen M.;International Journal of Digital Earth,2018
5. Iterative integration of deep learning in hybrid Earth surface system modelling;Chen M.;Nature Reviews Earth & Environment,2023
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