-
2
-
-
80052775340
-
Hyperspectral unmixing based on mixtures of Dirichlet components
-
Mar.
-
J. M. P. Nascimento and J. M. Bioucas-Dias, "Hyperspectral unmixing based on mixtures of Dirichlet components," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 863-878, Mar. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, Issue.3
, pp. 863-878
-
-
Nascimento, J.M.P.1
Bioucas-Dias, J.M.2
-
3
-
-
48849090040
-
Improvement of target detection methods by multiway filtering
-
Aug.
-
N. Renard and S. Bourennane, "Improvement of target detection methods by multiway filtering," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 8, pp. 2407-2417, Aug. 2008.
-
(2008)
IEEE Trans. Geosci. Remote Sens.
, vol.46
, Issue.8
, pp. 2407-2417
-
-
Renard, N.1
Bourennane, S.2
-
4
-
-
35348920168
-
Feature selection and classification of hyperspectral images with support vector machines
-
DOI 10.1109/LGRS.2007.905116
-
R. Archibald and G. Fann, "Feature selection and classification of hyperspectral images with support vector machines," IEEE Trans. Geosci. Remote Sens., vol. 4, no. 4, pp. 674-677, Oct. 2007. (Pubitemid 47588053)
-
(2007)
IEEE Geoscience and Remote Sensing Letters
, vol.4
, Issue.4
, pp. 674-677
-
-
Archibald, R.1
Fann, G.2
-
5
-
-
79960904516
-
Signal-dependent noise modeling and model parameter estimation in hyperspectral images
-
Aug.
-
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.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.8
, pp. 2957-2971
-
-
Acito, N.1
Diani, M.2
Corsini, G.3
-
6
-
-
34249809456
-
Stripe noise reduction in modis data by combining histogram matching with facet filter
-
Jun.
-
P. Rakwatin, W. Takeuchi, and Y. Yasuoka, "Stripe noise reduction in modis data by combining histogram matching with facet filter," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 6, pp. 1844-1856, Jun. 2007.
-
(2007)
IEEE Trans. Geosci. Remote Sens.
, vol.45
, Issue.6
, pp. 1844-1856
-
-
Rakwatin, P.1
Takeuchi, W.2
Yasuoka, Y.3
-
7
-
-
79957488968
-
Local signal-dependent noise variance estimation from hyperspectral textural images
-
Jun.
-
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.
-
(2011)
IEEE J. Sel. Topics. Signal Process.
, vol.5
, Issue.3
, pp. 469-486
-
-
Uss, M.1
Vozel, B.2
Lukin, V.3
Chehdi, K.4
-
8
-
-
72049125102
-
Signal-dependent noise modelling and estimation of newgeneration imaging spectrometers
-
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 Sens., 2009, pp. 1-4.
-
(2009)
Proc. 1st Workshop Hyperspectral Image Signal Process., Evolution Remote Sens.
, pp. 1-4
-
-
Alparone, L.1
Selva, M.2
Aiazzi, B.3
Baronti, S.4
Butera, F.5
Chiarantini, L.6
-
9
-
-
0030235916
-
Principal components transform with simple, automatic noise adjustment
-
R. E. Roger, "Principal components transform with simple, automatic noise adjustment," INT. J. Remote Sens., vol. 17, no. 14, pp. 2719-2727, 1996.
-
(1996)
INT. J. Remote Sens.
, vol.17
, Issue.14
, pp. 2719-2727
-
-
Roger, R.E.1
-
10
-
-
0033311252
-
Interference and noise-adjusted principal components analysis
-
DOI 10.1109/36.789637
-
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)
-
(1999)
IEEE Transactions on Geoscience and Remote Sensing
, vol.37
, Issue.5
, pp. 2387-2396
-
-
Chang, C.-I.1
-
11
-
-
84858078807
-
Nonwhite noise reduction in hyperspectral images
-
May
-
X. Liu, S. Bourennane, and C. Fossati, "Nonwhite noise reduction in hyperspectral images," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 3, pp. 368-372, May 2012.
-
(2012)
IEEE Geosci. Remote Sens. Lett.
, vol.9
, Issue.3
, pp. 368-372
-
-
Liu, X.1
Bourennane, S.2
Fossati, C.3
-
12
-
-
0345427070
-
Using dark current data to estimate avris noise covariance and improve spectral analyses
-
J. W. Boardman, "Using dark current data to estimate avris noise covariance and improve spectral analyses," AVIRIS Proc., vol. 1, pp. 19-22, 1995.
-
(1995)
AVIRIS Proc.
, vol.1
, pp. 19-22
-
-
Boardman, J.W.1
-
13
-
-
0035391660
-
Information-theoretic assessment of sampled hyperspectral imagers
-
DOI 10.1109/36.934076, PII S0196289201055012
-
B. Aiazzi, L. Alparone, A. Barducci, S. Baronti, and I. Pippi, "Information-theoretic assessment of sampled hyperspectral imagers," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1447-1458, Jul. 2001. (Pubitemid 32732658)
-
(2001)
IEEE Transactions on Geoscience and Remote Sensing
, vol.39
, Issue.7
, pp. 1447-1458
-
-
Aiazzi, B.1
Alparone, L.2
Barducci, A.3
Baronti, S.4
Pippi, I.5
-
14
-
-
33747176570
-
Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers
-
B. Aiazzi, L. Alparone, A. Barducci, S. Baronti, P. Marcoionni, I. Pippi, andM. Selva, "Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers," Ann. Geophys., vol. 49, no. 1, pp. 1-9, 2006. (Pubitemid 44226622)
-
(2006)
Annals of Geophysics
, vol.49
, Issue.1
, pp. 1-9
-
-
Aiazzi, B.1
Alparone, L.2
Barducci, A.3
Baronti, S.4
Marcoionni, P.5
Pippi, I.6
Selva, M.7
-
15
-
-
33750146454
-
Survey on tensor signal algebraic filtering
-
DOI 10.1016/j.sigpro.2005.12.016, PII S016516840600168X
-
D. Muti and S. Bourennane, "Survey on tensor signal algebraic filtering," Signal Process., vol. 87, no. 2, pp. 237-249, Feb. 2007. (Pubitemid 44602251)
-
(2007)
Signal Processing
, vol.87
, Issue.2
, pp. 237-249
-
-
Muti, D.1
Bourennane, S.2
-
16
-
-
48849103262
-
Denoising and dimensionality reduction using multilinear tools for hyperspectral images
-
Apr.
-
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.
-
(2008)
IEEE Geosci. Remote Sens. Lett.
, vol.5
, Issue.2
, pp. 138-142
-
-
Renard, N.1
Bourennane, S.2
Blanc-Talon, J.3
-
17
-
-
65349159757
-
About advances in tensor data denoising methods
-
J. Marot, C. Fossati, and S. Bourennane, "About advances in tensor data denoising methods," EURASIP J. Adv. Signal Process., vol. 2008, p. 235357, 2008.
-
(2008)
EURASIP J. Adv. Signal Process.
, vol.2008
, pp. 235357
-
-
Marot, J.1
Fossati, C.2
Bourennane, S.3
-
18
-
-
34250499792
-
Analysis of individual differences in multidimensional scaling via an n-way generalization of 'Eckart-Young' decomposition
-
Sep.
-
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.
-
(1970)
Psychometrika
, vol.35
, Issue.3
, pp. 283-319
-
-
Carroll, J.D.1
Chang, J.J.2
-
19
-
-
0002740437
-
Foundations of the PARAFAC procedure: Models and conditions for an explanatory" multi-modal factor analysis
-
Dec.
-
R. A. Harshman, "Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-modal factor analysis," UCLA Working Papers Phonetics, vol. 16, pp. 1-84, Dec. 1970.
-
(1970)
UCLA Working Papers Phonetics
, vol.16
, pp. 1-84
-
-
Harshman, R.A.1
-
20
-
-
84867090591
-
Denoising of hyperspectral images using the parafac model and statistical performance analysis
-
Oct.
-
X. Liu, S. Bourennane, and C. Fossati, "Denoising of hyperspectral images using the parafac model and statistical performance analysis," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 10, pp. 3717-3724, Oct. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, Issue.10
, pp. 3717-3724
-
-
Liu, X.1
Bourennane, S.2
Fossati, C.3
-
21
-
-
0025430387
-
Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform
-
DOI 10.1109/36.54356
-
J. Lee, A. Woodyatt, and M. Berman, "Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform," IEEE Trans. Geosci. Remote Sens., vol. 28, no. 3, pp. 295-304, May 1990. (Pubitemid 20702839)
-
(1990)
IEEE Transactions on Geoscience and Remote Sensing
, vol.28
, Issue.3
, pp. 295-304
-
-
Lee James, B.1
Woodyatt A.Stephen2
Berman Mark3
-
22
-
-
27744544315
-
Multidimensional filtering based on a tensor approach
-
DOI 10.1016/j.sigpro.2004.11.029, PII S0165168405001234
-
D. Muti and S. Bourennane, "Multidimensional filtering based on a tensor approach," Signal Process., vol. 85, no. 12, pp. 2338-2353, Dec. 2005. (Pubitemid 41606027)
-
(2005)
Signal Processing
, vol.85
, Issue.12
, pp. 2338-2353
-
-
Muti, D.1
Bourennane, S.2
-
23
-
-
68649096448
-
Tensor decompositions and applications
-
Sep.
-
T. G. Kolda and B. W. Bader, "Tensor decompositions and applications," SIAM Rev., vol. 51, no. 3, pp. 455-500, Sep. 2009.
-
(2009)
SIAM Rev.
, vol.51
, Issue.3
, pp. 455-500
-
-
Kolda, T.G.1
Bader, B.W.2
-
24
-
-
0013953617
-
Some mathematical notes on three-mode factor analysis
-
Sep.
-
L. R. Tucker, "Some mathematical notes on three-mode factor analysis," Psychometrika, vol. 31, no. 3, pp. 279-311, Sep. 1966.
-
(1966)
Psychometrika
, vol.31
, Issue.3
, pp. 279-311
-
-
Tucker, L.R.1
-
25
-
-
0034250083
-
Parallel factor analysis in sensor array processing
-
Aug.
-
N. D. Sidiropoulos, R. Bro, and G. B. Giannakis, "Parallel factor analysis in sensor array processing," IEEE Trans. Signal Process., vol. 48, no. 8, pp. 2377-2388, Aug. 2000.
-
(2000)
IEEE Trans. Signal Process.
, vol.48
, Issue.8
, pp. 2377-2388
-
-
Sidiropoulos, N.D.1
Bro, R.2
Giannakis, G.B.3
-
26
-
-
66849113522
-
Adaptive algorithms to track the parafac decomposition of a third-order tensor
-
Jun.
-
D. Nion and N. D. Sidiropoulos, "Adaptive algorithms to track the parafac decomposition of a third-order tensor," IEEE Trans. Signal Process., vol. 57, no. 6, pp. 2299-2310, Jun. 2009.
-
(2009)
IEEE Trans. Signal Process.
, vol.57
, Issue.6
, pp. 2299-2310
-
-
Nion, D.1
Sidiropoulos, N.D.2
-
27
-
-
2942597622
-
Structure-seeking multilinear methods for the analysis of fMRI data
-
DOI 10.1016/j.neuroimage.2004.02.026, PII S1053811904001181
-
A. H. Andersen and W. S. Rayens, "Structure-seeking multilinear methods for the analysis of fmri data," NeuroImage, vol. 22, pp. 728-739, Jun. 2004. (Pubitemid 38759435)
-
(2004)
NeuroImage
, vol.22
, Issue.2
, pp. 728-739
-
-
Andersen, A.H.1
Rayens, W.S.2
-
28
-
-
55349142218
-
Tensor rank and the ill-posedness of the best low-rank approximation problem
-
V. De Silva and L. Lim, "Tensor rank and the ill-posedness of the best low-rank approximation problem," SIAM J. Matrix Anal. Appl., vol. 30, no. 3, pp. 1084-1127, 2008.
-
(2008)
SIAM J. Matrix Anal. Appl.
, vol.30
, Issue.3
, pp. 1084-1127
-
-
De Silva, V.1
Lim, L.2
-
29
-
-
84871816658
-
Hyperspectral signal subspace identification in the presence of rares vectors and signal-dependent noise
-
Jan.
-
N. Acito, M. Diani, and G. Corsini, "Hyperspectral signal subspace identification in the presence of rares vectors and signal-dependent noise," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 283-299, Jan. 2013.
-
(2013)
IEEE Trans. Geosci. Remote Sens.
, vol.51
, Issue.1
, pp. 283-299
-
-
Acito, N.1
Diani, M.2
Corsini, G.3
-
30
-
-
45849101292
-
Noise removal from hyperspectral images by multidimensional filtering
-
Jul.
-
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.
-
(2008)
IEEE Trans. Geosci. Remote Sens.
, vol.46
, Issue.7
, pp. 2061-2069
-
-
Letexier, D.1
Bourennane, S.2
-
31
-
-
31344444452
-
Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage
-
DOI 10.1109/TGRS.2005.860982
-
H. Othman and S.-E. Qian, "Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 2, pp. 397-408, Feb. 2006. (Pubitemid 43146059)
-
(2006)
IEEE Transactions on Geoscience and Remote Sensing
, vol.44
, Issue.2
, pp. 397-408
-
-
Othman, H.1
Qian, S.-E.2
-
32
-
-
79952041437
-
Denoising of hyperspectral imagery using principal component analysis and wavelet shrinkage
-
Mar.
-
G. Chen and S.-E. Qian, "Denoising of hyperspectral imagery using principal component analysis and wavelet shrinkage," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 3, pp. 973-980, Mar. 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.3
, pp. 973-980
-
-
Chen, G.1
Qian, S.-E.2
-
33
-
-
0002258223
-
The parafac model for three-way factor analysis and multidimensional scaling
-
New York, NY, USA: Praeger
-
R. A. Harshman and M. E. Lundy, "The parafac model for three-way factor analysis and multidimensional scaling," in Research Methods For Multimode Data Analysis. New York, NY, USA: Praeger, 1984, pp. 122-215.
-
(1984)
Research Methods for Multimode Data Analysis
, pp. 122-215
-
-
Harshman, R.A.1
Lundy, M.E.2
-
34
-
-
0002645698
-
Parafac: Parallel factor analysis
-
R. A. Harshman and M. E. Lundy, "Parafac: Parallel factor analysis," Comput. Stat. Data Anal., vol. 18, no. 1, pp. 39-72, 1994.
-
(1994)
Comput. Stat. Data Anal.
, vol.18
, Issue.1
, pp. 39-72
-
-
Harshman, R.A.1
Lundy, M.E.2
-
35
-
-
0032225212
-
Target detection using HSI systems: An update of TRW results
-
DOI 10.1117/12.328122
-
R. D. McGregor, M. H. Nguyen, I. S. Robinson, A. Weisberg, J. X. Tull, S. D. Augustin, and R. W. Crow, "Target detection using hsi systems: An update of trw results," in Proc. SPIE, 1998, vol. 3438, pp. 52-65. (Pubitemid 35005777)
-
(1998)
Proceedings of SPIE - The International Society for Optical Engineering
, vol.3438
, pp. 52-65
-
-
McGregor, R.D.1
Nguyen, M.H.2
Robinson, I.S.3
Weisberg, A.4
Tull, J.X.5
Augustin, S.6
Crow, R.7
-
36
-
-
52649104569
-
-
Ph.D. dissertation Rochester Institute of Technology, Rochester, NY, USA
-
J. E. West, "Matched filter stochastic background characterization for hyperspectral target detection," Ph.D. dissertation, Rochester Institute of Technology, Rochester, NY, USA, 2005.
-
(2005)
Matched Filter Stochastic Background Characterization for Hyperspectral Target Detection
-
-
West, J.E.1
-
37
-
-
67650153214
-
The adaptive coherence estimator is the generalized likelihood ratio test for a class of heterogeneous environments
-
S. Bidon, O. Besson, and J.-Y. Tourneret, "The adaptive coherence estimator is the generalized likelihood ratio test for a class of heterogeneous environments," IEEE Signal Process. Lett., vol. 15, pp. 281-284, 2008.
-
(2008)
IEEE Signal Process. Lett.
, vol.15
, pp. 281-284
-
-
Bidon, S.1
Besson, O.2
Tourneret, J.-Y.3
-
38
-
-
85032751277
-
Detection algorithms for hyperspectral imaging applications
-
DOI 10.1109/79.974724
-
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)
-
(2002)
IEEE Signal Processing Magazine
, vol.19
, Issue.1
, pp. 29-43
-
-
Manolakis, D.G.1
Shaw, G.2
-
39
-
-
27844593728
-
Spectral linear mixing model in low spatial resolution image data
-
DOI 10.1109/TGRS.2005.848692
-
V. Haertel and Y. Shimabukuro, "Spectral linear mixing model in low spatial resolution image data," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 11, pp. 2555-2562, Nov. 2005. (Pubitemid 41640779)
-
(2005)
IEEE Transactions on Geoscience and Remote Sensing
, vol.43
, Issue.11
, pp. 2555-2562
-
-
Haertel, V.F.1
Shimabukuro, Y.E.2
|