DESAT: A Distance-Enhanced Strip Attention Transformer for Remote Sensing Image Super-Resolution

DESAT: A Distance-Enhanced Strip Attention Transformer for Remote Sensing Image Super-Resolution

Transformer-based methods have demonstrated impressive performance in image super-resolution tasks. However, when applied to large-scale Earth observation images, the existing transformers encounter two significant challenges: (1) insufficient consideration of spatial correlation between adjacent gr...

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Bibliographic Details
Main Authors: Yujie Mao, Guojin He, Guizhou Wang, Ranyu Yin, Yan Peng, Bin Guan
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
remote sensing
image super-resolution
deep learning
transformer
self-attention
Gaofen-6 satellite
Online Access:https://www.mdpi.com/2072-4292/16/22/4251
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