Landsat-8 to Sentinel-2 Satellite Imagery Super-Resolution-Based Multiscale Dilated Transformer Generative Adversarial Networks

Landsat-8 to Sentinel-2 Satellite Imagery Super-Resolution-Based Multiscale Dilated Transformer Generative Adversarial Networks

Image super-resolution (SR) techniques can improve the spatial resolution of remote sensing images to provide more feature details and information, which is important for a wide range of remote sensing applications, including land use/cover classification (LUCC). Convolutional neural networks (CNNs)...

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Bibliographic Details
Main Authors: Chunyang Wang, Xian Zhang, Wei Yang, Gaige Wang, Zongze Zhao, Xuan Liu, Bibo Lu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
super-resolution
land use/cover classification
deep learning
remote sensing
Transformer
generative adversarial network
Online Access:https://www.mdpi.com/2072-4292/15/22/5272

Internet

https://www.mdpi.com/2072-4292/15/22/5272

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