DSRKD: Joint Despecking and Super-Resolution of SAR Images via Knowledge Distillation-Reference-Cited by-同舟云学术

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DSRKD: Joint Despecking and Super-Resolution of SAR Images via Knowledge Distillation

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Ziyuan¹^ORCID,Wang Shaoping²^ORCID,Li Ying³,Gu Yuantao¹^ORCID,Yu Quan³^ORCID

Affiliation:

1. Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

2. Tsinghua Shenzhen International Graduate School, Shenzhen, China

3. Peng Cheng Laboratory, Shenzhen, China

Funder

National Natural Science Foundation of China

Guoqiang Institute, Tsinghua University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10606284.pdf?arnumber=10606284

Reference51 articles.

1. Image Super-Resolution Using Deep Convolutional Networks

2. Accelerating the Super-Resolution Convolutional Neural Network

3. MemNet: A Persistent Memory Network for Image Restoration

4. Image Super-Resolution Using Very Deep Residual Channel Attention Networks

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