AI-Driven 3D reconstruction and quality assessment for Cultural Heritage: first results from the HERITALISE project
The accurate digital documentation of Cultural Heritage (CH) assets demands workflows capable of integrating heterogeneous, multiscale datasets while preserving both geometric fidelity and radiometric completeness. This paper presents the first results of the AI-based processing pipeline developed w...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Copernicus Publications
2026-07-01
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| Collection: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Accès en ligne: | https://isprs-archives.copernicus.org/articles/XLIX-B2-2026/809/2026/isprs-archives-XLIX-B2-2026-809-2026.pdf |
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