17 search results - page 1 / 4 » Feature Extraction by Linear Spectral Unmixing |
KES
2004
Springer
13 years 10 months ago
2004
Springer
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...
IGARSS
2010
13 years 2 months ago
2010
Spectral unmixing is an important task for remotely sensed hyperspectral data exploitation. Linear spectral unmixing relies on two main steps: 1) identification of pure spectral c...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Hyperspectral unmixing is a process of extracting hidden spectral signatures (or endmembers) and the corresponding proportions (or abundances) of a scene, from its hyperspectral o...
AIPR
2003
IEEE
13 years 10 months ago
2003
IEEE
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...