Deep Learning Innovations: ResNet Applied to SAR and Sentinel-2 Imagery

Deep Learning Innovations: ResNet Applied to SAR and Sentinel-2 Imagery

The elevated precision of data regarding the Earth’s surface, facilitated by the enhanced interoperability among various GNSSs (Global Navigation Satellite Systems), enables the classification of land use and land cover (LULC) via satellites equipped with optical sensors, such as Sentinel-2 of the C...

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Bibliographic Details
Main Authors:	Giuliana Bilotta, Luigi Bibbò, Giuseppe M. Meduri, Emanuela Genovese, Vincenzo Barrile
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Series:	Remote Sensing
Subjects:	GNSS satellite remote sensing radar remote sensing object-based image analysis convolutional neural networks ResNet
Online Access:	https://www.mdpi.com/2072-4292/17/12/1961
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