MRA-IDN: A Lightweight Super-Resolution Framework of Remote Sensing Images Based on Multiscale Residual Attention Fusion Mechanism-Reference-Cited by-同舟云学术

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MRA-IDN: A Lightweight Super-Resolution Framework of Remote Sensing Images Based on Multiscale Residual Attention Fusion Mechanism

Published:2024 Issue: Volume:17 Page:7781-7800
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Ye Wujian¹^ORCID,Lin Bili²^ORCID,Lao Junming²,Liu Yijun¹^ORCID,Lin Zhenyi²^ORCID

Affiliation:

1. School of Integrated Circuits, Guangdong University of Technology, Guangzhou, China

2. School of Information Engineering, Guangdong University of Technology, Guangzhou, China

Funder

Key Area R&D Program of Guangdong Province

Basic and Applied Basic Research Project of Guangzhou Basic Research Program

Guangdong Education Department

Guangdong University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10480122.pdf?arnumber=10480122

Reference79 articles.

1. Survey of Super-resolution Image Reconstruction Methods

2. Deep Learning Based Single Image Super-Resolution: A Survey

3. Lanczos Filtering in One and Two Dimensions

4. Cubic convolution interpolation for digital image processing

5. Super-resolution through neighbor embedding

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