Nonwhite noise reduction in hyperspectral images

IEEE Geoscience and Remote Sensing Letters

Volumn 9, Issue 3, 2012, Pages 368-372

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

^a AIX MARSEILLE UNIVERSITÉ   (France)

Author keywords

Hyperspectral images; multilinear algebra; multiway filtering; noise reduction; nonwhite noise

Indexed keywords

COMPARATIVE STUDIES; DE-NOISE; DENOISING METHODS; FILTERING METHOD; HYPER-SPECTRAL IMAGES; IMAGE PLANE; MULTIDIMENSIONAL DATA; MULTILINEAR ALGEBRA; MULTIWAY FILTERING; NONWHITE NOISE; PRE-PROCESSING STEP; PREWHITENING; TENSOR DECOMPOSITION; VECTORIZATION; WIENER FILTERING;

ALGEBRA; INDEPENDENT COMPONENT ANALYSIS; NOISE ABATEMENT; WHITE NOISE;

ACOUSTIC NOISE MEASUREMENT;

EID: 84858078807     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2011.2169041     Document Type: Article

References (18)

1. L. Rickard, R. Basedow, E. Zalewski, and P. Silverglate, "Hydice: An airborne system for hyperspectral imaging," in Proc. SPIE-Imaging Spectrometry of the Terrestrial Environment, 2010, vol. 48, pp. 4023-4033.
2. N. Renard, S. Bourennane, and J. Blanc-Talon, "Denoising and dimensionality reduction using multilinear tools for hyperspectral images," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 2, pp. 138-142, Apr. 2008.
3. M. Uss, B. Vozel, V. Lukin, and K. Chehdi, "Local signal-dependent noise variance estimation from hyperspectral textural images," IEEE J. Sel. Topics Signal Process., vol. 5, no. 3, pp. 469-486, Jun. 2011.
4. L. Alparone, M. Selva, B. Aiazzi, S. Baronti, F. Butera, and L. Chiarantini, "Signal-dependent noise modelling and estimation of newgeneration imaging spectrometers," in Proc. 1st Workshop Hyperspectral Image Signal Process.-Evolution Remote Sensing, 2009, pp. 1-4.
5. N. Acito, M. Diani, and G. Corsini, "Signal-dependent noise modeling and model parameter estimation in hyperspectral images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 8, pp. 2957-2971, Aug. 2011.
6. A. Pizurica, W. Philips, I. Lemahieu, and M. Acheroy, "A joint inter-and intrascale statistical model for Bayesian wavelet based image denoising," IEEE Trans. Image Process., vol. 11, no. 5, pp. 545-557, May 2002. (Pubitemid 34789806)
7. L. R. Tucker, "Some mathematical notes on three-mode factor analysis," Psychometrika, vol. 31, no. 3, pp. 279-311, Sep. 1966.
8. J. D. Carroll and J. J. Chang, "Analysis of individual differences in multidimensional scaling via an n-way generalization of "eckart- young" decomposition," Psychometrika, vol. 35, no. 3, pp. 283-319, Sep. 1970.
9. R. A. Harshman, "Foundations of the PARAFAC procedure: Models and conditions for an "explanator" multi-modal factor analysis," UCLA Working Papers Phonetics, vol. 16, pp. 1-84, 1970.
10. D. Muti and S. Bourennane, "Survey on tensor signal algebraic filtering," Signal Process., vol. 87, no. 2, pp. 237-249, Feb. 2007. (Pubitemid 44602251)
11. T. G. Kolda and B. W. Bader, "Tensor decompositions and applications," SIAM Rev., vol. 51, no. 3, pp. 455-500, Aug. 2009.
12. D. Letexier and S. Bourennane, "Noise removal from hyperspectral images by multidimensional filtering," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 7, pp. 2061-2069, Jul. 2008.
13. R. E. Roger, "Principal components transform with simple, automatic noise adjustment," Int. J. Remote Sens., vol. 17, no. 14, pp. 2719-2727, 1996.
14. A. A. Green, M. Berman, P. Switzer, and M. D. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. Geosci. Remote Sens., vol. 26, no. 1, pp. 65-74, Jan. 1988. (Pubitemid 18596008)
15. C.-I. Chang and Q. Du, "Interference and noise adjusted principal components analysis," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 5, pp. 2387-2396, Sep. 1999. (Pubitemid 30518325)
16. R. Archibald and G. Fann, "Feature selection and classification of hyperspectral images with support vector machines," IEEE Geosci. Remote Sens. Lett., vol. 4, no. 4, pp. 674-677, Oct. 2007. (Pubitemid 47588053)
17. D. Manolakis and G. Shaw, "Detection algorithms for hyperspectral imaging applications," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 29-43, Jan. 2002. (Pubitemid 34237206)
18. J. Kerekes and J. Baum, "Full spectrum spectral imaging system analytical model," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 571-580, Mar. 2005. (Pubitemid 40320278)