2024-03-29T07:14:25Zhttps://repositori.uji.es/oai/requestoai:repositori.uji.es:10234/236252022-11-08T14:56:54Zcom_10234_7038com_10234_9col_10234_8634
00925njm 22002777a 4500
dc
Rajadell Rojas, Olga
author
García-Sevilla, Pedro
author
Pla, Filiberto
author
2009
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
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.
0302-9743
http://hdl.handle.net/10234/23625
http://dx.doi.org/10.1007/978-3-642-10268-4_121
Satellite hyperspectral
Filter banks
Image
Hyperspectral pixel
Gabor filters
Filter banks for hyperspectral pixel classification of satellite images