Blind source separation with spatio-spectral sparsity constraints - application to hyperspectral data analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5441, Issue , 2009, Pages 523-531

  Moudden, Yassir ^a   Bobin, Jerome ^a,b   Starck, Jean Luc ^a   Fadili, Jalal ^c  

^a CEA SACLAY   (France)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^c Centre National de la Recherche Scientifique   (France)

Author keywords

BSS; Curvelets; GMCA; Hyperspectral data; MCA; Morphological diversity; Multichannel data; Sparsity; Wavelets

Indexed keywords

BSS; CURVELETS; GMCA; HYPERSPECTRAL DATA; MCA; MORPHOLOGICAL DIVERSITY; MULTICHANNEL DATA; SPARSITY; WAVELETS;

APARTMENT HOUSES; DATA PROCESSING; HEMODYNAMICS; INDEPENDENT COMPONENT ANALYSIS; MAGNETIC ANISOTROPY; MAGNETIC LOGIC DEVICES; MORPHOLOGY; SEPARATION; SIGNAL ANALYSIS; SPEECH ANALYSIS;

BLIND SOURCE SEPARATION;

EID: 67149121826     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00599-2_66     Document Type: Conference Paper

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