17 search results - page 1 / 4 » Sparsity And Morphological Diversity For Hyperspectral Data ... |
ICIP
2009
IEEE
14 years 5 months ago
2009
IEEE
Recently morphological diversity and sparsity have emerged as new and effective sources of diversity for Blind Source Separation. Based on these new concepts, novel methods such a...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
This paper describes a new blind source separation method for instantaneous linear mixtures. This new method coined GMCA (Generalized Morphological Component Analysis) relies on mo...
SIAMIS
2010
12 years 11 months ago
2010
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
IGARSS
2009
13 years 2 months ago
2009
Kernel Principal Component Analysis (KPCA) is investigated for feature extraction from hyperspectral remotesensing data. Features extracted using KPCA are used to construct the Ex...
ICPR
2010
IEEE
13 years 4 months ago
2010
IEEE
Hyperspectral imaging is a new technique in remote sensing that generates hundreds of images, corresponding to different wavelength channels, for the same area on the surface of t...