Unrolling Nonnegative Matrix Factorization With Group Sparsity for Blind Hyperspectral Unmixing
Author:
Affiliation:
1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
Funder
National Natural Science Foundation of China
LIESMARS (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing) Special Research Funding
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10173648.pdf?arnumber=10173648
Reference66 articles.
1. Incorporating spatial information in spectral unmixing: A review
2. Model selection and estimation in regression with grouped variables
3. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery
4. The group lasso for logistic regression
5. Sparse Unmixing of Hyperspectral Data
Cited by 7 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. The rise of nonnegative matrix factorization: Algorithms and applications;Information Systems;2024-07
2. Multiscale NMF based on intra-pixel and inter-pixel structure adjustment for spectral unmixing;International Journal of Applied Earth Observation and Geoinformation;2024-06
3. Mutual Incoherence and Relative Total Variation Regularizations for Blind Hyperspectral Unmixing;IEEE Transactions on Geoscience and Remote Sensing;2024
4. Hyperspectral Unmixing Based on Multilinear Mixing Model Using Convolutional Autoencoders;IEEE Transactions on Geoscience and Remote Sensing;2024
5. Review of information extraction methods from thermal infrared hyperspectral remote sensing images;Journal of Image and Graphics;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