Sparsity constraints for hyperspectral data analysis: Linear mixture model and beyond

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7446, Issue , 2009, Pages

  Bobin, J ^c   Moudden, Y ^a   Starck, J L ^a   Fadili, J ^b  

^a UNIVERSITÉ PARIS DIDEROT   (France)

^b Centre National de la Recherche Scientifique   (France)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Blind source separation; Curvelets; Denoising; Inpainting; Morphological diversity; Multichannel convolution; Multichannel data; Overcomplete representation; Sparsity; Wavelets

Indexed keywords

CURVELETS; DENOISING; INPAINTING; MORPHOLOGICAL DIVERSITY; MULTICHANNEL CONVOLUTION; MULTICHANNEL DATA; OVERCOMPLETE REPRESENTATION; SPARSITY; WAVELETS;

APARTMENT HOUSES; CONVOLUTION; DATA PROCESSING; IMAGE RECONSTRUCTION; RESTORATION; SEPARATION; SIGNAL ANALYSIS; SIGNAL PROCESSING; SPEECH ANALYSIS;

BLIND SOURCE SEPARATION;

EID: 70449496857     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.826131     Document Type: Conference Paper

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