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dc.contributor.authorRajadell Rojas, Olga
dc.contributor.authorGarcía Sevilla, Pedro
dc.contributor.authorPla Bañón, Filiberto
dc.description.abstractSatellite hyperspectral imaging deals with heterogenous images containing different texture areas. Filter banks are frequently used to characterize textures in the image performing pixel classification. This filters are designed using Different scales and orientations in order to cover all areas in the frequential domain. This work is aimed at studying the influence of the different scales used in the analysis, comparing texture analysis theory with hyperspectral imaging necessities. To pursue this, Gabor filters over complex planes and opponent features are taken into account and also compared in the feature extraction process
dc.format.extent8 p.
dc.publisherSpringer Verlag (Germany)
dc.relation.isFormatOfVersió pre-print del document publicat a:
dc.rights© Springer Verlag (Germany)
dc.sourceLecture notes in computer science (ISSN 0302-9743), vol. 5856 (2009), pp 1039-1046
dc.subjectSatellite hyperspectral
dc.subjectFilter banks
dc.subjectHyperspectral pixel
dc.subjectGabor filters
dc.subject.lcshRemote-sensing images
dc.subject.lcshFilters (Mathematics)
dc.subject.otherImatges satel•litàries
dc.subject.otherFiltres (Matemàtica)
dc.titleFilter banks for hyperspectral pixel classification of satellite images

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