TESR: Two-Stage Approach for Enhancement and Super-Resolution of Remote Sensing Images

TESR: Two-Stage Approach for Enhancement and Super-Resolution of Remote Sensing Images

Remote Sensing (RS) images are usually captured at resolutions lower than those required. Deep Learning (DL)-based super-resolution (SR) architectures are typically used to increase the resolution artificially. In this study, we designed a new architecture called TESR (Two-stage approach for Enhance...

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Bibliographic Details
Main Authors: Anas M. Ali, Bilel Benjdira, Anis Koubaa, Wadii Boulila, Walid El-Shafai
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
super-resolution
remote sensing images
vision transformer
self-attention
diffusion model
Online Access:https://www.mdpi.com/2072-4292/15/9/2346

Internet

https://www.mdpi.com/2072-4292/15/9/2346

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