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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIX-B2-2026
https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-421-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-421-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
23 Jul 2026
| 23 Jul 2026
VISTA-GS: MVS-Guided Virtual View Augmentation for Sparse-View 3D Gaussian Splatting
Hongsheng Huang
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, P.R. China
Yaxin Li
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, P.R. China
Micro Dimension Technology Limited, Hong Kong, P.R. China
Shengjun Tang
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
College of Urban and Environmental Sciences, Peking University, Beijing, P.R. China
Mostafa Mahmoud
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, P.R. China
Mahmoud Adham
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, P.R. China
Wu Chen
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, P.R. China
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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
Satellite navigation can help measure water vapor, but most stations lack weather sensors. This limits accurate real-time estimates. We developed a method using artificial intelligence weather models to calculate two key atmospheric quantities locally and quickly anywhere. Tests with three models gave water-vapor errors below one millimeter for five-day forecasts, better than current methods. This can improve real-time weather monitoring and forecasts when more satellite data are used.
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