Assessing Land Cover Changes Using the LUCAS Database and Sentinel Imagery: A Comparative Analysis of Accuracy Metrics
Classification of remote sensing images using machine learning models requires a large amount of training data. Collecting this data is both labor-intensive and time-consuming. In this study, the effectiveness of using pre-existing reference data on land cover gathered as part of the Land Use–Land C...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
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MDPI AG
2024-12-01
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| Serier: | Applied Sciences |
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| Online adgang: | https://www.mdpi.com/2076-3417/15/1/240 |
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