Biologically-inspired data decorrelation for hyper-spectral imaging

Biologically-inspired data decorrelation for hyper-spectral imaging

<p>Abstract</p> <p>Hyper-spectral data allows the construction of more robust statistical models to sample the material properties than the standard tri-chromatic color representation. However, because of the large dimensionality and complexity of the hyper-spectral data, the extra...

Full description

Bibliographic Details
Main Authors: Ghita Ovidiu, Whelan Paul, Iriondo Pedro, Picon Artzai, Rodriguez-Vaamonde Sergio
Format: Article
Language:English
Published: SpringerOpen 2011-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Hyper-spectral data
feature extraction
fuzzy sets
material classification
Online Access:http://asp.eurasipjournals.com/content/2011/1/66

Internet

http://asp.eurasipjournals.com/content/2011/1/66

Similar Items