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AIPR
2003
IEEE
13 years 10 months ago
Band Selection Using Independent Component Analysis for Hyperspectral Image Processing
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
Hongtao Du, Hairong Qi, Xiaoling Wang, Rajeev Rama...
IBPRIA
2007
Springer
13 years 11 months ago
Comparison of Unsupervised Band Selection Methods for Hyperspectral Imaging
Different methods have been proposed in order to deal with the huge amount of information that hyperspectral applications involve. This paper presents a comparison of some of the m...
Adolfo Martínez Usó, Filiberto Pla, ...
IBPRIA
2009
Springer
13 years 8 months ago
Textural Features for Hyperspectral Pixel Classification
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
Olga Rajadell, Pedro García-Sevilla, Filibe...
ICIP
2005
IEEE
13 years 10 months ago
Hyperspectral imaging: potential in non-destructive analysis of palimpsests
Palimpsests -twice written manuscripts- are of great interest since they may contain important hidden text underneath the visible one. Hyperspectral imaging may aid the expert to ...
Konstantinos Rapantzikos, Costas Balas
IBPRIA
2003
Springer
13 years 10 months ago
Does Independent Component Analysis Play a~Role in Unmixing Hyperspectral Data?
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
José M. P. Nascimento, José M. B. Di...