Denoising of hyperspectral images using the parafac model and statistical performance analysis

IEEE Transactions on Geoscience and Remote Sensing

Volumn 50, Issue 10 PART1, 2012, Pages 3717-3724

  Liu, Xuefeng ^a   Bourennane, Salah ^a   Fossati, Caroline ^a  

^a AIX MARSEILLE UNIVERSITÉ   (France)

Author keywords

Classification; Cramer Rao lower bound (CRLB); denoising; hyperspectral image (HSI); parallel factor analysis (PARAFAC); Tucker3

Indexed keywords

CRAMER-RAO LOWER BOUND; DE-NOISING; HYPERSPECTRAL IMAGES; PARALLEL FACTOR ANALYSIS; TUCKER3;

ALGEBRA; CLASSIFICATION (OF INFORMATION); COVARIANCE MATRIX; CRAMER-RAO BOUNDS; FACTOR ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; MULTIVARIANT ANALYSIS; SPECTROSCOPY;

IMAGE DENOISING;

ESTIMATION METHOD; FACTOR ANALYSIS; GAUSSIAN METHOD; IMAGE CLASSIFICATION; MATRIX; NUMERICAL MODEL; SPECTRAL ANALYSIS; THREE-DIMENSIONAL MODELING; TWO-DIMENSIONAL MODELING;

EID: 84867090591     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2187063     Document Type: Article

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