UM  > 科技學院  > 電腦及資訊科學系
Spectral-spatial destriping of hyperspectral image via correntropy based sparse representation and unidirectional Huber-Markov random fields
Wang, Yulong1; Tang, Yuan Yan2; Li, Luoqing3
2017-11-19
Source PublicationINTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING
ISSN0219-6913
Volume15Issue:6
Abstract

This paper presents a novel destriping method for hyperspectral images. Most of the previous destriping methods regard only the corrupted subimage as an isolated image and fail to consider the high spectral correlation between the subimages in different bands. This may impede their performance of removing striping noises. The proposed method takes advantage of both spectral and spatial information to contribute to the process of striping noise reduction. Firstly, a correntropy-based sparse representation (CSR) model is utilized to learn the high spectral correlation between the subimages in different bands. Then the spatial information of the target subimage with striping noise is incorporated into the CSR model with a unidirectional Huber-Markov random field prior. We devise an Augmented Lagrange Multiplier type of algorithm to efficiently compute the destriped results. The experimental results on two real-world hyperspectral data sets demonstrate the effectiveness of the proposed method.

KeywordHyperspectral Images Destriping Sparse Representation Markov Random Field
DOIhttps://doi.org/10.1142/S0219691317500576
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Mathematics
WOS SubjectComputer Science, Software Engineering ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000416435400004
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
The Source to ArticleWOS
全文获取链接
引用统计
Document TypeJournal article
专题DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorWang, Yulong; Tang, Yuan Yan; Li, Luoqing
Affiliation1.School of Information Science and Engineering, Chengdu University, Chengdu, 610106, P. R. China
2.Faculty of Science and Technology, University of Macau, Macau, 999078, P. R. China
3.Faculty of Mathematics and Statistics, Hubei University, Wuhan, 430062, P. R. China
Corresponding Author AffilicationFaculty of Science and Technology
推荐引用方式
GB/T 7714
Wang, Yulong,Tang, Yuan Yan,Li, Luoqing. Spectral-spatial destriping of hyperspectral image via correntropy based sparse representation and unidirectional Huber-Markov random fields[J]. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,2017,15(6).
APA Wang, Yulong,Tang, Yuan Yan,&Li, Luoqing.(2017).Spectral-spatial destriping of hyperspectral image via correntropy based sparse representation and unidirectional Huber-Markov random fields.INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,15(6).
MLA Wang, Yulong,et al."Spectral-spatial destriping of hyperspectral image via correntropy based sparse representation and unidirectional Huber-Markov random fields".INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING 15.6(2017).
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
Google Scholar
中相似的文章 Google Scholar
[Wang, Yulong]的文章
[Tang, Yuan Yan]的文章
[Li, Luoqing]的文章
Baidu academic
中相似的文章 Baidu academic
[Wang, Yulong]的文章
[Tang, Yuan Yan]的文章
[Li, Luoqing]的文章
Bing Scholar
中相似的文章 Bing Scholar
[Wang, Yulong]的文章
[Tang, Yuan Yan]的文章
[Li, Luoqing]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。