Sentinel-2 Remote Sensed Image Classification with Patchwise Trained ConvNets for Grassland Habitat Discrimination

The present study focuses on the use of Convolutional Neural Networks (CNN or ConvNet) to classify a multi-seasonal dataset of Sentinel-2 images to discriminate four grassland habitats in the “Murgia Alta” protected site. To this end, we compared two approaches differing only by the first layer mach...

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Bibliographic Details
Main Authors: Paolo Fazzini, Giuseppina De Felice Proia, Maria Adamo, Palma Blonda, Francesco Petracchini, Luigi Forte, Cristina Tarantino
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/12/2276