A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 Imagery

A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 Imagery

There is a growing interest in the development of automated data processing workflows that provide reliable, high spatial resolution land cover maps. However, high-resolution remote sensing images are not always affordable. Taking into account the free availability of Sentinel-2 satellite data, in t...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Saüc Abadal, Luis Salgueiro, Javier Marcello, Verónica Vilaplana
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2021-11-01
Schriftenreihe:Remote Sensing
Schlagworte:
super-resolution
semantic segmentation
deep learning
convolutional neural network
Sentinel-2
Online Zugang:https://www.mdpi.com/2072-4292/13/22/4547

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https://www.mdpi.com/2072-4292/13/22/4547

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