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dc.contributor.authorChu, Rui Jian
dc.contributor.authorRichard, Noel
dc.contributor.authorGhorbel, Faouzi
dc.contributor.authorFernandez-Maloigne, Christine
dc.contributor.authorHardeberg, Jon Yngve
dc.date.accessioned2020-05-22T10:15:36Z
dc.date.available2020-05-22T10:15:36Z
dc.date.created2020-02-11T12:32:58Z
dc.date.issued2019
dc.identifier.citationWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. 2019, 2019-September .en_US
dc.identifier.issn2158-6276
dc.identifier.urihttps://hdl.handle.net/11250/2655333
dc.description.abstractA new hyperspectral texture descriptor, Relative Spectral Difference Occurrence Matrix (RSDOM) is proposed. Developed in a metrological framework, it simultaneously considers the distribution of spectra and their spatial arrangement in the hyperspectral image. It is generic and adapted for any number of spectral band or range. As validation, a texture classification scheme is applied on HyTexiLa dataset using RSDOM. The obtained accuracy is excellent (95.6%), comparable to Opponent Band Local Binary Pattern (OBLBP) but at a much-reduced feature size (0.1% of OBLBP's).en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.titleA Metrological Framework for Hyperspectral Texture Analysis Using Relative Spectral Difference Occurrence Matrixen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber5en_US
dc.source.volume2019-Septemberen_US
dc.source.journalWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensingen_US
dc.identifier.doi10.1109/WHISPERS.2019.8921335
dc.identifier.cristin1792995
dc.description.localcode© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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