HapkeCNN: Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network

dc.contributor.author	Rasti, Behnood
dc.contributor.author	Koirala, Bikram
dc.contributor.author	Scheunders, Paul
dc.contributor.imecauthor	Koirala, Bikram
dc.contributor.imecauthor	Scheunders, Paul
dc.contributor.orcidimec	Koirala, Bikram::0000-0002-8887-8197
dc.contributor.orcidimec	Scheunders, Paul::0000-0003-2447-4772
dc.date.accessioned	2023-01-03T10:40:55Z
dc.date.available	2022-10-06T02:49:34Z
dc.date.available	2023-01-03T10:40:55Z
dc.date.embargo	2022-08-22
dc.date.issued	2022
dc.description.wosFundingText	This work was supported in part by the Alexander-vonHumboldt-Stiftung/Foundation. The work of Bikram Koirala was supported by the Research Foundation-Flanders under Project G031921N.
dc.identifier.doi	10.1109/TGRS.2022.3202490
dc.identifier.issn	0196-2892
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/40539
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage	5536315
dc.source.endpage	na
dc.source.issue	na
dc.source.journal	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
dc.source.numberofpages	15
dc.source.volume	60
dc.subject.keywords	IMAGE
dc.title	HapkeCNN: Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network
dc.type	Journal article
dspace.entity.type	Publication
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