Hyperspectral Image Super-Resolution Network Based on Cross-Scale Nonlocal Attention
Author:
Affiliation:
1. School of Geography and Information Engineering, China University of Geosciences, Wuhan, China
2. Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, China
Funder
Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10108986.pdf?arnumber=10108986
Reference74 articles.
1. Fusformer: A transformer-based fusion approach for hyperspectral image super-resolution;hu;arXiv 2109 02079,2021
2. Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
3. Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks
4. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014
5. MobileNets: Efficient convolutional neural networks for mobile vision applications;howard;arXiv 1704 04861,2017
Cited by 10 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. A deep neural network approach with attention mechanism to improve the quality of target observation for UAVs;Computers & Industrial Engineering;2024-04
2. Hyperspectral Image Super-Resolution With ConvLSTM Skip-Connections;IEEE Transactions on Geoscience and Remote Sensing;2024
3. Hyperspectral Image Super-Resolution via Sparsity Regularization-Based Spatial-Spectral Tensor Subspace Representation;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
4. All in One: A Unified Network for Hyperspectral Image Fusion;IEEE Transactions on Geoscience and Remote Sensing;2024
5. A Principle Design of Registration-Fusion Consistency: Toward Interpretable Deep Unregistered Hyperspectral Image Fusion;IEEE Transactions on Neural Networks and Learning Systems;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3