Reference-based super-resolution reconstruction of remote sensing images based on a coarse-to-fine feature matching transformer-Reference-Cited by-同舟云学术

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Reference-based super-resolution reconstruction of remote sensing images based on a coarse-to-fine feature matching transformer

Published:2024-09 Issue: Volume:135 Page:108787
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Wang Chen,Zhu Fuzhen^ORCID,Zhu Bing^ORCID,Zhang Qi,Ma Hongbin

Publisher

Elsevier BV

Reference51 articles.

1. Dual-path adversarial learning for fully convolutional network (FCN)-based medical image segmentation;Bi;Vis. Comput.,2018

2. Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources;Cao;Adv. Eng. Inf.,2020

3. Online learning for reference-based super-resolution;Chae;Electronics,2022

4. GCAM: lightweight image inpainting via group convolution and attention mechanism;Chen;Int. J. Mach. Learn. Cybern.,2023

5. MICU: image super-resolution via multi-level information compensation and U-net;Chen;Expert Syst. Appl.,2024

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