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Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising

 
dc.contributor.authorZeng, Haijin
dc.contributor.authorFeng, Kai
dc.contributor.authorZhao, Xudong
dc.contributor.authorCao, Jiezhang
dc.contributor.authorHuang, Shaoguang
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.accessioned2025-03-27T05:33:36Z
dc.date.available2025-03-27T05:33:36Z
dc.date.issued2025
dc.description.wosFundingTextThis work was supported in part by FlandersAI under Grant 174Z05623,in part by the National Natural Science Foundation of China under Grant 42301425 and Grant 62401049, and in part by China Postdoctoral Science Foundation under Grant 2023M743299 and Grant 2023M740268.
dc.identifier.doi10.1109/TGRS.2025.3543920
dc.identifier.issn0196-2892
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45447
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.journalIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
dc.source.numberofpages12
dc.source.volume63
dc.subject.keywordsRANK TENSOR RECOVERY
dc.subject.keywordsTUBAL-RANK
dc.subject.keywordsRESTORATION
dc.subject.keywordsREPRESENTATION
dc.subject.keywordsMODEL
dc.title

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising

dc.typeJournal article
dspace.entity.typePublication
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