3D Semantic segmentation of GPR data by means of shallow machine learning
Shallow machine learning methods do not need explicit rules for semantic segmentation, Few user annotations are needed; the result can be improved interactively, Suitability for the analysis of 3D GPR data is shown for a dataset from a Roman town
Authors
- Michel Dabas (ORCID: https://orcid.org/0000-0001-7405-3453)
- Lieven Verdonck (ORCID: https://orcid.org/0000-0002-1626-4030)
- Marc Bui (ORCID: https://orcid.org/0000-0003-0681-0947)
Institutions
- École Pratique des Hautes Études (FR)
- Archéologie et Philologie d’Orient et d’Occident (FR)
Publication Details
- Journal
- ArchéoSciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4000/14nuc
- Primary Topic
- Geophysical Methods and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00