31 search results - page 2 / 7 » Low-Complexity Principal Component Analysis for Hyperspectra... |
ICIP
2005
IEEE
14 years 2 months ago
2005
IEEE
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 ...
IGARSS
2009
13 years 6 months ago
2009
In this study, the authors investigate the use of hyperspectral imaging for food crop monitoring and contamination detection and characterization. The authors investigate the use ...
AIPR
2002
IEEE
14 years 2 months ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
ESANN
2006
13 years 10 months ago
2006
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
ICIP
2004
IEEE
14 years 10 months ago
2004
IEEE
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...