An ICA-based multilinear algebra tools for dimensionality reduction in Hyperspectral imagery

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2008, Pages 1345-1348

  Renard, N ^a   Bourennane, S ^a  

^a CNRS   (France)

Author keywords

Dimensionality reduction; Independent component analysis; Multilinear algebra tools; Tensor processing

Indexed keywords

ACOUSTICS; ALGEBRA; BLIND SOURCE SEPARATION; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; IMAGE ENHANCEMENT; LEARNING SYSTEMS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; SIGNAL PROCESSING; SPEECH;

DIMENSIONALITY REDUCTION; MULTILINEAR ALGEBRA TOOLS; TENSOR PROCESSING;

INDEPENDENT COMPONENT ANALYSIS;

EID: 51449091543     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4517867     Document Type: Conference Paper

References (8)

1. D. Landgrebe, "Hyperspectral image data analysis as a high dimensional signal processing problem," Special issue of the IEEE Signal Process. Magazine, vol. 19, no. 1, pp. 17-28, Jan. 02.
2. J. Wang and C.I. Chang, "Independent component analysis - based dimensionality reduction with applications in hyperspectral image analysis," IEEE Trans. on Geosc.and Remote Sens., vol. 44, no. 6, pp. 1586-1588, June 2006.
3. N. Renard, S. Bourennane, and J. Blanc-Talon, "Denoising and dimensionality reduction using multilinear tools for hyperspectral images," IEEE Geoscience and Remote Sensing Letters, accepted for future publication, vol. 1, no. 1, pp. 1-1, 2008.
4. P. Comon, "Independent component analysis : A new concept," Signal Process., vol. 36, pp. 287-314, 1994.
5. A. Hyvarinen, J. Karhunen, and E. Oja, Independent Component Analysis, John Wiley Sons, 2001.
6. C.-I. Chang, S.S. Chiang, J.A. Smith, and I.W Ginsberg, "Linear spectrum random mixture analysis for hyperspectral imagery," IEEE Geoscience and Remote Sensing, vol. 40, no. 2, pp. 375-392, Feb. 2002.
7. N) approximation of higher-order tensors," SIAM Journal on Matrix Analysis and Applications, vol. 21, pp. 1324-42, Apr. 00.
8. L.R. Tucker, "Some mathematical notes on three-mode factor analysis," Psychometrika, vol. 31, pp. 279-311, 66.