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Optimizing Gaussian Process Regression for Image Time Series Gap-Filling and Crop Monitoring
Image processing entered the era of artificial intelligence, and machine learning algorithms emerged as attractive alternatives for time series data processing. Satellite image time series processing enables crop phenology monitoring, such as the calculation of start and end of season. Among the pro...
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| Pubblicato in: | Agronomy (Basel) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7613364/ https://ncbi.nlm.nih.gov/pubmed/36081839 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/agronomy10050618 |
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