Assessment of Rock and Stone Decay in Heritage Sites Using Machine Learning
Cultural heritage sites face growing threats from environmental factors and human activities, highlighting the need for efficient techniques to monitor and preserve their structural integrity. While advanced machine learning models, such as Segment Anything Model (SAM), have shown success in areas s...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-annals.copernicus.org/articles/X-G-2025/1019/2025/isprs-annals-X-G-2025-1019-2025.pdf |
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