108 search results - page 1 / 22 » Dependent Component Analysis: A Hyperspectral Unmixing Algor... |
IBPRIA
2007
Springer
13 years 11 months ago
2007
Springer
IBPRIA
2003
Springer
13 years 10 months ago
2003
Springer
—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...
IGARSS
2009
13 years 2 months ago
2009
Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Abstract—Hyperspectral unmixing aims at identifying the hidden spectral signatures (or endmembers) and their corresponding proportions (or abundances) from an observed hyperspect...
PAMI
2010
13 years 3 months ago
2010
—Although significant efforts have been made in developing nonnegative blind source separation techniques, accurate separation of positive yet dependent sources remains a challen...