Spectral–Spatial Pixel Characterization Using Gabor Filters for Hyperspectral Image Classification
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
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Título
Spectral–Spatial Pixel Characterization Using Gabor Filters for Hyperspectral Image ClassificationFecha de publicación
2013Editor
Institute of Electrical and Electronics Engineers (IEEE)ISSN
1545-598XCita bibliográfica
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 10, NO. 4, JULY 2013Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6387570Versión
info:eu-repo/semantics/submittedVersionPalabras clave / Materias
Resumen
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 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. [-]
Publicado en
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, vol. 10, no 4Derechos de acceso
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