Crop Classification of Satellite Imagery Using Synthetic Multitemporal and Multispectral Images in Convolutional Neural Networks

The demand for new tools for mass remote sensing of crops, combined with the open and free availability of satellite imagery, has prompted the development of new methods for crop classification. Because this classification is frequently required to be completed within a specific time frame, performa...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Guillermo Siesto, Marcos Fernández-Sellers, Adolfo Lozano-Tello
Format:	Article
Language:	English
Published:	MDPI AG 2021-08-01
Subjects:	remote sensing crop classification convolutional neural networks sentinel-2 satellite imagery multi-spectral
Online Access:	https://www.mdpi.com/2072-4292/13/17/3378