An Efficient Hybrid CNN-Transformer Approach for Remote Sensing Super-Resolution

An Efficient Hybrid CNN-Transformer Approach for Remote Sensing Super-Resolution

Transformer models have great potential in the field of remote sensing super-resolution (SR) due to their excellent self-attention mechanisms. However, transformer models are prone to overfitting because of their large number of parameters, especially with the typically small remote sensing datasets...

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Bibliographic Details
Main Authors: Wenjian Zhang, Zheng Tan, Qunbo Lv, Jiaao Li, Baoyu Zhu, Yangyang Liu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
remote sensing image super-resolution
convolution neural network
Swin Transformer
efficient hybrid network
sequence-based upsample
Online Access:https://www.mdpi.com/2072-4292/16/5/880

Internet

https://www.mdpi.com/2072-4292/16/5/880

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