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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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Bibliografische gegevens
Gepubliceerd in:Agronomy (Basel)
Hoofdauteurs: Belda, Santiago, Pipia, Luca, Morcillo-Pallarés, Pablo, Verrelst, Jochem
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2020
Onderwerpen:
Online toegang: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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