Spectral Super-Resolution Based on Dictionary Optimization Learning via Spectral Library
Author:
Affiliation:
1. School of Automation, Northwestern Polytechnical University, Xi’an, China
2. Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium
3. Department of Computer Engineering, Sejong University, Seoul, South Korea
Funder
National Natural Science Foundation of China
Key Research and Development (R&D) Plan of Shaanxi Province
Fundamental Research Funds for the Central Universities
Science, Technology and Innovation Commission of Shenzhen Municipality
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/09987530.pdf?arnumber=9987530
Reference69 articles.
1. Spectral-spatial constrained sparse unmixing of hyperspectral imagery using a hybrid spectral library
2. Collaborative Sparse Regression for Hyperspectral Unmixing
3. Joint Camera Spectral Response Selection and Hyperspectral Image Recovery
4. Joint camera spectral sensitivity selection and hyperspectral image recovery;fu;Computer Vision,2018
5. HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images
Cited by 8 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. Generating high-resolution hyperspectral time series datasets based on unsupervised spatial-temporal-spectral fusion network incorporating a deep prior;Information Fusion;2024-11
2. Infrared Microscopy: A Multidisciplinary Review of Techniques, Applications, and Ethical Dimensions;Jordan Journal of Pharmaceutical Sciences;2024-06-25
3. Underwater image quality optimization: Researches, challenges, and future trends;Image and Vision Computing;2024-06
4. Exploiting sparsity of hyperspectral image: A novel approach for compressive hyperspectral image reconstruction using deep learning;Optics Communications;2024-04
5. Spectral Library-Based Spectral Super-Resolution Under Incomplete Spectral Coverage Conditions;IEEE Transactions on Geoscience and Remote Sensing;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