Sparsity and morphological diversity for hyperspectral data analysis

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2009, Pages 1481-1484

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

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITÉ PARIS DIDEROT   (France)

^c Centre National de la Recherche Scientifique   (France)

Author keywords

Astronomy; Hyperspectral data; Remote sensing; Source separation; Sparsity; Wavelets

Indexed keywords

ASTRONOMY; BLIND SOURCE SEPARATION; IMAGE PROCESSING; IMAGING SYSTEMS; MORPHOLOGY; REMOTE SENSING; SIGNAL ANALYSIS;

COMPONENT ANALYSIS; HYPERSPECTRAL DATA; HYPERSPECTRAL DATA ANALYSIS; MORPHOLOGICAL DIVERSITY; NEW CONCEPT; NUMERICAL EXPERIMENTS; OVERCOMPLETE DICTIONARIES; SOURCE SEPARATION; SPARSE REPRESENTATION; SPECTRAL SIGNATURE; STRUCTURED DATA; WAVE FORMS;

DATA PROCESSING;

EID: 77951972049     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2009.5414547     Document Type: Conference Paper

References (6)

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