108 search results - page 3 / 22 » Dependent Component Analysis: A Hyperspectral Unmixing Algor... |
EUROPAR
2007
Springer
14 years 12 days ago
2007
Springer
Abstract. Hyperspectral imagery is a new type of high-dimensional image data which is now used in many Earth-based and planetary exploration applications. Many efforts have been d...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
This article deals with a regularized version of the split gradient method (SGM), leading to multiplicative algorithms. The proposed algorithm is available for the optimization of...
ICIP
2009
IEEE
14 years 7 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...
ICDCS
2006
IEEE
14 years 8 days ago
2006
IEEE
Hyperspectral imaging is a new technique which has become increasingly important in many remote sensing applications, including automatic target recognition for military and defen...
IJHPCA
2008
13 years 6 months ago
2008
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...