NGSTGAN: N-Gram Swin Transformer and Multi-Attention U-Net Discriminator for Efficient Multi-Spectral Remote Sensing Image Super-Resolution

The reconstruction of high-resolution (HR) remote sensing images (RSIs) from low-resolution (LR) counterparts is a critical task in remote sensing image super-resolution (RSISR). Recent advancements in convolutional neural networks (CNNs) and Transformers have significantly improved RSISR performanc...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Chao Zhan, Chunyang Wang, Bibo Lu, Wei Yang, Xian Zhang, Gaige Wang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-06-01
Schriftenreihe:	Remote Sensing
Schlagworte:	super-resolution deep learning convolutional neural network generative adversarial networks transformer N-Gram
Online-Zugang:	https://www.mdpi.com/2072-4292/17/12/2079
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