Machine Learning for the Semi-Automatic 3D Decay Segmentation and Mapping of Heritage Assets
Autor(en): |
Rosella Alessia Galantucci
(DICATECh - Department of Civil, Environmental, Land, Construction and Chemistry, Polytechnic University of Bari, Bari, Italy)
Antonella Musicco (DICATECh - Department of Civil, Environmental, Land, Construction and Chemistry, Polytechnic University of Bari, Bari, Italy) Cesare Verdoscia (DICATECh - Department of Civil, Environmental, Land, Construction and Chemistry, Polytechnic University of Bari, Bari, Italy) Fabio Fatiguso (DICATECh - Department of Civil, Environmental, Land, Construction and Chemistry, Polytechnic University of Bari, Bari, Italy) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | International Journal of Architectural Heritage |
Seite(n): | 1-19 |
DOI: | 10.1080/15583058.2023.2287152 |
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Datenseite - Reference-ID
10750848 - Veröffentlicht am:
14.01.2024 - Geändert am:
14.01.2024