CGSNet: Channel Group Shuffling Network for Remote Sensing Image Fusion-Reference-Cited by-同舟云学术

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CGSNet: Channel Group Shuffling Network for Remote Sensing Image Fusion

Published:2023 Issue: Volume:11 Page:121387-121398
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jiang Honghui¹,Peng Hu²^ORCID,Zhang Guozheng³^ORCID

Affiliation:

1. Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, China

2. School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, China

3. School of Mechanical Engineering, Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, China

Funder

Academic Funding Project for Top-Notch Talents in Disciplines (Specialties) of Colleges and Universities

2023 Anhui Province Higher Education Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10296517.pdf?arnumber=10296517

Reference69 articles.

1. A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors

2. Pan-Sharpening with Customized Transformer and Invertible Neural Network

3. MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery

4. Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening

5. Optimal MMSE Pan Sharpening of Very High Resolution Multispectral Images

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MFCANet: Multiscale Feature Context Aggregation Network for Oriented Object Detection in Remote-Sensing Images;IEEE Access;2024

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