Publication:

All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising

Date

2023
Journal article
https://doi.org/10.1109/JSTARS.2023.3301149
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dc.contributor.authorZeng, Haijin
dc.contributor.authorHuang, Shaoguang
dc.contributor.authorChen, Yongyong
dc.contributor.authorLuong, Hiep
dc.contributor.authorPhilips, Wilfried
dc.contributor.imecauthorZeng, Haijin
dc.contributor.imecauthorLuong, Hiep
dc.contributor.imecauthorPhilips, Wilfried
dc.contributor.orcidimecZeng, Haijin::0000-0003-0398-3316
dc.contributor.orcidimecLuong, Hiep::0000-0002-6246-5538
dc.contributor.orcidimecPhilips, Wilfried::0000-0003-4456-4353
dc.date.accessioned2023-12-04T10:41:50Z
dc.date.available2023-08-29T17:25:46Z
dc.date.available2023-12-04T10:41:50Z
dc.date.embargo2023-08-02
dc.date.issued2023
dc.description.wosFundingTextThis work was supported in part by the Flemish Government (AI Research Program), UGent-Special Research Fund (BOF), and in part by the China Scholarship Council, "CUG Scholar" Scientific Research Funds at China University of Geosciences, Wuhan, under Grant 2022164.
dc.identifier.doi10.1109/JSTARS.2023.3301149
dc.identifier.issn1939-1404
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/42420
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage7357
dc.source.endpage7373
dc.source.issuena
dc.source.journalIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
dc.source.numberofpages17
dc.source.volume16
dc.subject.keywordsTOTAL VARIATION MODEL
dc.subject.keywordsIMAGE-RESTORATION
dc.subject.keywordsTENSOR DECOMPOSITION
dc.subject.keywordsRECONSTRUCTION
dc.title

All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising

dc.typeJournal article
dspace.entity.typePublication
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