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DESTRIPING HYPERSPECTRAL IMAGERY BY ADAPTIVE ANISOTROPIC TOTAL VARIATION AND TRUNCATED NUCLEAR NORM

 
dc.contributor.authorHu, Ting
dc.contributor.authorLiu, Na
dc.contributor.authorLi, Wei
dc.contributor.authorTao, Ran
dc.contributor.authorZhang, Feng
dc.contributor.authorScheunders, Paul
dc.contributor.imecauthorScheunders, Paul
dc.date.accessioned2022-07-14T14:42:59Z
dc.date.available2022-06-19T02:21:21Z
dc.date.available2022-07-14T14:42:59Z
dc.date.issued2021
dc.identifier.doi10.1109/WHISPERS52202.2021.9484033
dc.identifier.eisbn978-1-6654-3601-4
dc.identifier.issn2158-6268
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39980
dc.publisherIEEE
dc.source.conference11th Workshop on Hyperspectral Imaging and Signal Processing - Evolution in Remote Sensing (WHISPERS)
dc.source.conferencedateMAR 24-26, 2021
dc.source.conferencelocationAmsterdam
dc.source.journalna
dc.source.numberofpages4
dc.title

DESTRIPING HYPERSPECTRAL IMAGERY BY ADAPTIVE ANISOTROPIC TOTAL VARIATION AND TRUNCATED NUCLEAR NORM

dc.typeProceedings paper
dspace.entity.typePublication
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