A Remote Sensing Image Super-Resolution Reconstruction Model Combining Multiple Attention Mechanisms

A Remote Sensing Image Super-Resolution Reconstruction Model Combining Multiple Attention Mechanisms

Remote sensing images are characterized by high complexity, significant scale variations, and abundant details, which present challenges for existing deep learning-based super-resolution reconstruction methods. These algorithms often exhibit limited convolutional receptive fields and thus struggle t...

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Bibliographic Details
Main Authors: Yamei Xu, Tianbao Guo, Chanfei Wang
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Sensors
Subjects:
remote sensing images
super-resolution reconstruction
window-based multi-head self-attention
convolutional attention
long-range dependencies
Online Access:https://www.mdpi.com/1424-8220/24/14/4492

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https://www.mdpi.com/1424-8220/24/14/4492

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