Extraction of stellar spectra from dense fields in hyperspectral muse data cubes using non-negative matrix factorization

Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

Volumn , Issue , 2011, Pages

  Meganem, Ines ^a,b   Deville, Yannick ^a   Hosseini, Shahram ^a   Carfantan, Hervé ^a   Karoui, Moussa Sofiane ^a,c  

^a IRAP   (France)

^b ONERA   (France)

^c Centre National des Techniques Spatiale Oran   (Algeria)

Author keywords

hyperspectral images; NMF; stellar spectra

Indexed keywords

CLOSE-IN; DATA CUBE; FIELD IMAGES; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; LEAST SQUARE ESTIMATION; MIXING MODELS; MUSE INSTRUMENT; NMF; NON-NEGATIVITY; NONNEGATIVE MATRIX FACTORIZATION; PRIOR INFORMATION; SEMI-BLIND; SOURCE SEPARATION; STELLAR SPECTRA;

BLIND SOURCE SEPARATION; FACTORIZATION; GEOMETRY; INDEPENDENT COMPONENT ANALYSIS; LEAST SQUARES APPROXIMATIONS; OPTICAL TRANSFER FUNCTION; REMOTE SENSING; SEPARATION; SIGNAL PROCESSING; STARS;

MATRIX ALGEBRA;

EID: 84255167082     PISSN: 21586276     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2011.6080930     Document Type: Conference Paper

References (4)

1. A. Cichocki, R. Zdunek, A. H. Phan, and S.-I Amari, Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-Way Data Analysis and Blind Source Separation, John Wiley and Sons, 2009.
2. P. Comon and C. Jutten, Handbook of Blind Source Separation: Independent Component Analysis and Applications, Academic Press, 2010.
3. H. Carfantan, A. Jarno, D. Serre, V. Mazet, and S. Bourguignon, ANR DAHLIA. Modélisation de la PSF de MUSE, MUSE, DAHLIA, Internal report, 2010.
4. D. D. Lee and H. S. Seung, "Algorithms for non-negative matrix factorization," in NIPS. 2001, pp. 556-562, MIT Press.