Automated spectral transfer learning strategy for semi-supervised regression on Chlorophyll-a retrievals with Sentinel-2 imagery
ABSTRACTMultispectral images make it possible to retrieve water quality parameters over a wide range and long time series by remote sensing. The robustness of traditional supervised machine learning models, which have been widely used, is affected in various regions, and these models are developed b...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Taylor & Francis Group
2024-12-01
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| Schriftenreihe: | International Journal of Digital Earth |
| Schlagworte: | |
| Online-Zugang: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2313856 |
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