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Hyperspectral imaging using notions from type-2 fuzzy sets
dc.creator | López Maestresalas, Ainara | es_ES |
dc.creator | Miguel Turullols, Laura de | es_ES |
dc.creator | López Molina, Carlos | es_ES |
dc.creator | Arazuri Garín, Silvia | es_ES |
dc.creator | Bustince Sola, Humberto | es_ES |
dc.creator | Jarén Ceballos, Carmen | es_ES |
dc.date.accessioned | 2020-01-07T12:20:40Z | |
dc.date.available | 2020-01-07T12:20:40Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1432-7643 | |
dc.identifier.uri | https://hdl.handle.net/2454/35995 | |
dc.description.abstract | Fuzzy set theory has developed a prolific armamentarium of mathematical tools for each of the topics that has fallen within its scope. One of such topics is data comparison, for which a range of operators has been presented in the past. These operators can be used within the fuzzy set theory, but can also be ported to other scenarios in which data are provided in various representations. In this work, we elaborate on notions for type-2 fuzzy sets, specifically for the comparison of type-2 fuzzy membership degrees, to create function comparison operators. We further apply these operators to hyperspectral imaging, in which pixelwise data are provided as functions over a certain energy spectra. The performance of the functional comparison operators is put to the test in the context of in-laboratory hyperspectral image segmentation. | en |
dc.description.sponsorship | This work has been partially funded by the Ministry of Science of the Spanish Government (TIN2016-77356-P) and the Research Services of the Universidad Publica de Navarra. | en |
dc.format.extent | 22 p. | |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | Springer | en |
dc.relation.ispartof | Soft Computing, 23 (6), 1779-1793 | en |
dc.rights | © Springer-Verlag GmbH Germany, part of Springer Nature 2018 | en |
dc.subject | Hyperspectral imaging | en |
dc.subject | Function-valued arithmetics | en |
dc.subject | Theory of comparison | en |
dc.subject | Type-2 fuzzy set | en |
dc.title | Hyperspectral imaging using notions from type-2 fuzzy sets | en |
dc.type | info:eu-repo/semantics/article | en |
dc.type | Artículo / Artikulua | es |
dc.contributor.department | Ingeniería | es_ES |
dc.contributor.department | Ingeniaritza | eu |
dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
dc.identifier.doi | 10.1007/s00500-018-3208-8 | |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-P | en |
dc.relation.publisherversion | https://doi.org/10.1007/s00500-018-3208-8 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |
dc.type.version | Versión aceptada / Onetsi den bertsioa | es |
dc.contributor.funder | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa | es |