Filter banks for hyperspectral pixel classification of satellite images
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Other documents of the author: Rajadell Rojas, Olga; García-Sevilla, Pedro; Pla, Filiberto
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
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Title
Filter banks for hyperspectral pixel classification of satellite imagesDate
2009Publisher
Springer Verlag (Germany)ISSN
0302-9743Bibliographic citation
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.Type
info:eu-repo/semantics/articlePublisher version
https://link.springer.com/chapter/10.1007/978-3-642-10268-4_121Version
info:eu-repo/semantics/submittedVersionSubject
Abstract
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 [-]
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Lecture notes in computer science, 2009, v. 5856Rights
© Springer Verlag (Germany)
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info:eu-repo/semantics/openAccess
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