STGAN: Swin Transformer-Based GAN to Achieve Remote Sensing Image Super-Resolution Reconstruction

STGAN: Swin Transformer-Based GAN to Achieve Remote Sensing Image Super-Resolution Reconstruction

Super-resolution (SR) of remote sensing images is essential to compensate for missing information in the original high-resolution (HR) images. Single-image super-resolution (SISR) technique aims to recover high-resolution images from low-resolution (LR) images. However, traditional SISR methods ofte...

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Bibliographic Details
Main Authors: Wei Huo, Xiaodan Zhang, Shaojie You, Yongkun Zhang, Qiyuan Zhang, Naihao Hu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
artificial intelligence
convolutional neural networks
generative adversarial network
remote sensing
swin transformer
super-resolution reconstruction
Online Access:https://www.mdpi.com/2076-3417/15/1/305
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