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UnDIP: Hyperspectral Unmixing Using Deep Image Prior

 
dc.contributor.authorRasti, Behnood
dc.contributor.authorKoirala, Bikram
dc.contributor.authorScheunders, Paul
dc.contributor.authorGhamisi, Pedram
dc.contributor.imecauthorKoirala, Bikram
dc.contributor.imecauthorScheunders, Paul
dc.contributor.orcidextRasti, Behnood::0000-0002-1091-9841
dc.contributor.orcidimecScheunders, Paul::0000-0003-2447-4772
dc.contributor.orcidimecKoirala, Bikram::0000-0002-8887-8197
dc.date.accessioned2022-02-18T10:33:19Z
dc.date.available2022-02-18T10:33:19Z
dc.date.issued2022
dc.description.wosFundingTextThe work of Behnood Rasti was supported by the Alexander-von-Humboldt-Stiftung/foundation. The work of Bikram Koirala was supported by the Belgian Science Policy Office (BELSPO) in the frame of the STEREO III program under Project GEOMIX SR/06/357.
dc.identifier.doi10.1109/TGRS.2021.3067802
dc.identifier.issn0196-2892
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/38877
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage5504615
dc.source.issuena
dc.source.journalIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
dc.source.numberofpages15
dc.source.volume60
dc.subject.keywordsENDMEMBER EXTRACTION
dc.subject.keywordsSPARSE REGRESSION
dc.subject.keywordsREGULARIZATION
dc.subject.keywordsAUTOENCODERS
dc.title

UnDIP: Hyperspectral Unmixing Using Deep Image Prior

dc.typeJournal article
dspace.entity.typePublication
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