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Understanding deep learning in land use classification based on Sentinel-2 time series

The use of deep learning (DL) approaches for the analysis of remote sensing (RS) data is rapidly increasing. DL techniques have provided excellent results in applications ranging from parameter estimation to image classification and anomaly detection. Although the vast majority of studies report pre...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Campos-Taberner, Manuel, García-Haro, Francisco Javier, Martínez, Beatriz, Izquierdo-Verdiguier, Emma, Atzberger, Clement, Camps-Valls, Gustau, Gilabert, María Amparo
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7560821/
https://ncbi.nlm.nih.gov/pubmed/33057052
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-74215-5
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