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Spectral–Spatial Pixel Characterization Using Gabor Filters for Hyperspectral Image Classification
dc.contributor.author | Rajadell Rojas, Olga | |
dc.contributor.author | García-Sevilla, Pedro | |
dc.contributor.author | Pla, Filiberto | |
dc.date.accessioned | 2014-03-20T18:12:23Z | |
dc.date.available | 2014-03-20T18:12:23Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 10, NO. 4, JULY 2013 | ca_CA |
dc.identifier.issn | 1545-598X | |
dc.identifier.uri | http://hdl.handle.net/10234/88009 | |
dc.description.abstract | This paper presents a spectral-spatial pixel characterization method for hyperspectral images. The characterization is based on textural features obtained using Gabor filters over a selected set of spectral bands. This scheme aims at improving land-use classification results decreasing significantly the number of spectral bands needed in order to reduce the dimensionality of the task thanks to an adequate description of the spatial characteristics of the image. This allows to require less data and avoid the curse of dimensionality. Very promising results are obtained which are similar or better than previous classification results provided by other spectral-spatial methods, but here also reducing the complexity using a reduced number of spectral bands. | ca_CA |
dc.format.extent | 5 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | ca_CA |
dc.relation.isPartOf | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, vol. 10, no 4 | ca_CA |
dc.rights | © Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions. (c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | Classification | ca_CA |
dc.subject | Hyperspectral | ca_CA |
dc.subject | Image segmentation | ca_CA |
dc.subject | Texture | ca_CA |
dc.title | Spectral–Spatial Pixel Characterization Using Gabor Filters for Hyperspectral Image Classification | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.1109/LGRS.2012.2226426 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6387570 | ca_CA |
dc.type.version | info:eu-repo/semantics/submittedVersion | ca_CA |
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