Filter banks for hyperspectral pixel classification of satellite images
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Otros documentos de la autoría: Rajadell Rojas, Olga; García-Sevilla, Pedro; Pla, Filiberto
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
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Título
Filter banks for hyperspectral pixel classification of satellite imagesFecha de publicación
2009Editor
Springer Verlag (Germany)ISSN
0302-9743Cita bibliográfica
RAJADELL, Olga; GARCÍA-SEVILLA, Pedro; PLA, Filiberto. Filter banks for hyperspectral pixel classification of satellite images. En Iberoamerican Congress on Pattern Recognition. Springer, Berlin, Heidelberg, 2009. p. 1039-1046.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://link.springer.com/chapter/10.1007/978-3-642-10268-4_121Versión
info:eu-repo/semantics/submittedVersionPalabras clave / Materias
Resumen
Satellite 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 ... [+]
Satellite 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 [-]
Publicado en
Lecture notes in computer science, 2009, v. 5856Derechos de acceso
© Springer Verlag (Germany)
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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