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A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data
The current exponential increase of spatiotemporally explicit data streams from satellitebased Earth observation missions offers promising opportunities for global vegetation monitoring. Intelligent sampling through active learning (AL) heuristics provides a pathway for fast inference of essential v...
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| Publicado no: | Remote Sens (Basel) |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7613397/ https://ncbi.nlm.nih.gov/pubmed/36081683 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/rs13020287 |
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