An end-member based ordering relation for the morphological description of hyperspectral images

dc.authorscopusid 23396161700
dc.authorscopusid 23088029900
dc.authorscopusid 57203070803
dc.contributor.author Aptoula,E.
dc.contributor.author Courty,N.
dc.contributor.author Lefevre,S.
dc.date.accessioned 2024-05-25T12:31:59Z
dc.date.available 2024-05-25T12:31:59Z
dc.date.issued 2014
dc.department Okan University en_US
dc.department-temp Aptoula E., Okan University, Istanbul, 34959, Turkey; Courty N., Univ. Bretagne-Sud, UMR 6074 IRISA, Vannes, 56000, France; Lefevre S., Univ. Bretagne-Sud, UMR 6074 IRISA, Vannes, 56000, France en_US
dc.description.abstract Despite the popularity of mathematical morphology with remote sensing image analysis, its application to hyperspectral data remains problematic. The issue stems from the need to impose a complete lattice structure on the multi-dimensional pixel value space, that requires a vector ordering. In this article, we introduce such a supervised ordering relation, which conversely to its alternatives, has been designed to be image-specific and exploits the spectral purity of pixels. The practical interest of the resulting multivariate morphological operators is validated through classification experiments where it achieves state-of-the-art performance. © 2014 IEEE. en_US
dc.identifier.citationcount 5
dc.identifier.doi 10.1109/ICIP.2014.7026032
dc.identifier.endpage 5101 en_US
dc.identifier.isbn 978-147995751-4
dc.identifier.scopus 2-s2.0-84949927584
dc.identifier.startpage 5097 en_US
dc.identifier.uri https://doi.org/10.1109/ICIP.2014.7026032
dc.identifier.uri https://hdl.handle.net/20.500.14517/2309
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 2014 IEEE International Conference on Image Processing, ICIP 2014 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 6
dc.subject classification en_US
dc.subject end-members en_US
dc.subject hyperspectral images en_US
dc.subject Mathematical morphology en_US
dc.subject vector ordering en_US
dc.title An end-member based ordering relation for the morphological description of hyperspectral images en_US
dc.type Conference Object en_US

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