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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Detalles Bibliográficos
Autores principales: Campos-Taberner, Manuel, García-Haro, Francisco Javier, Martínez, Beatriz, Izquierdo-Verdiguier, Emma, Atzberger, Clement, Camps-Valls, Gustau, Gilabert, María Amparo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560821/
https://www.ncbi.nlm.nih.gov/pubmed/33057052
http://dx.doi.org/10.1038/s41598-020-74215-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560821/
https://www.ncbi.nlm.nih.gov/pubmed/33057052
http://dx.doi.org/10.1038/s41598-020-74215-5

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