-
1
-
-
33748648069
-
Hyperspectral imaging system modeling
-
J. P. Kerekes and J. E. Baum, "Hyperspectral imaging system modeling," Lincoln Lab., vol. 14, no. 1, pp. 117-130, 2003
-
(2003)
Lincoln Lab
, vol.14
, Issue.1
, pp. 117-130
-
-
Kerekes, J.P.1
Baum, J.E.2
-
2
-
-
0024738923
-
Estimation of signal-to-noise: A new procedure applied to AVIRIS data
-
DOI 10.1109/TGRS.1989.35945
-
P. Curran and J. Dungan, "Estimation of signal-To-noise: A new procedure applied to AVIRIS data," IEEE Trans. Geosci. Remote Sens., vol. 27, no. 5, pp. 620-628, Sep. 1989 (Pubitemid 20618512)
-
(1989)
IEEE Transactions on Geoscience and Remote Sensing
, vol.27
, Issue.5
, pp. 620-628
-
-
Curran Paul, J.1
Dungan Jennifer, L.2
-
3
-
-
48849088937
-
Hyperspectral subspace identification
-
Aug
-
J. Bioucas-Dias and J. Nascimento, "Hyperspectral subspace identification," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 8, pp. 2435-2445, Aug. 2008
-
(2008)
IEEE Trans. Geosci. Remote Sens
, vol.46
, Issue.8
, pp. 2435-2445
-
-
Bioucas-Dias, J.1
Nascimento, J.2
-
4
-
-
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
-
5
-
-
0023854011
-
Transformation for ordering multispectral data in terms of image quality with implications for noise removal
-
DOI 10.1109/36.3001
-
A. Green, M. Berman, P. Switzer, and M. 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)
-
(1988)
IEEE Transactions on Geoscience and Remote Sensing
, vol.26
, Issue.1
, pp. 65-74
-
-
Green Andrew, A.1
Mark, B.2
Paul, S.3
Craig Maurice, D.4
-
6
-
-
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
Mark, B.3
-
7
-
-
84950459514
-
Theory and Methods Adapting to Unknown Smoothness via Wavelet Shrinkage
-
D. Donoho and I. Johnstone, "Adapting to unknown smoothness via wavelet shrinkage," J. Amer. Stat. Assoc., vol. 90, no. 432, pp. 1200-1224, Dec. 1995 (Pubitemid 126093135)
-
(1995)
Journal of the American Statistical Association
, vol.90
, Issue.432
, pp. 1200-1224
-
-
Donoho, D.L.1
Johnstone, I.M.2
-
8
-
-
85194972808
-
Regression shrinkage and selection via the Lasso
-
R. Tibshirani, "Regression shrinkage and selection via the Lasso," J. R. Stat. Soc. B, Methodol., vol. 58, no. 1, pp. 267-288, 1994
-
(1994)
J. R. Stat. Soc. B, Methodol
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
9
-
-
84873156858
-
Hyperspectral image denoising using 3D wavelets
-
B. Rasti, J. R. Sveinsson, and M. O. Ulfarsson, "Hyperspectral image denoising using 3D wavelets," in Proc. IEEE IGARSS, 2012, pp. 1349-1352
-
(2012)
Proc. IEEE IGARSS
, pp. 1349-1352
-
-
Rasti, B.1
Sveinsson, J.R.2
Ulfarsson, M.O.3
-
10
-
-
79957607089
-
Denoising of three-dimensional data cube using bivariate wavelet shrinking
-
May
-
G. Chen, T. D. Bui, and A. Krzyzak, "Denoising of three-dimensional data cube using bivariate wavelet shrinking," Int. J. Pattern Recognit. Artif. Intell., vol. 25, no. 3, pp. 403-413, May 2011
-
(2011)
Int. J. Pattern Recognit. Artif. Intell
, vol.25
, Issue.3
, pp. 403-413
-
-
Chen, G.1
Bui, T.D.2
Krzyzak, A.3
-
11
-
-
34948839352
-
Denoising hyperspectral imagery and recovering junk bands using wavelets and sparse approximation
-
DOI 10.1109/IGARSS.2006.104, 4241251, 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
-
A. Zelinski and V. Goyal, "Denoising hyperspectral imagery and recovering junk bands using wavelets and sparse approximation," in Proc. IEEE IGARSS, Aug. 2006, pp. 387-390. (Pubitemid 47515529)
-
(2006)
International Geoscience and Remote Sensing Symposium (IGARSS)
, pp. 387-390
-
-
Zelinski, A.C.1
Goyal, V.K.2
-
12
-
-
84873104050
-
3-D nonlocal means filter with noise estimation for hyperspectral imagery denoising
-
Y. Qian, Y. Shen, M. Ye, and Q. Wang, "3-D nonlocal means filter with noise estimation for hyperspectral imagery denoising," in Proc. IEEE IGARSS, 2012, pp. 1345-1348
-
(2012)
Proc. IEEE IGARSS
, pp. 1345-1348
-
-
Qian, Y.1
Shen, Y.2
Ye, M.3
Wang, Q.4
-
13
-
-
33645653318
-
A review of image denoising algorithms, with a new one
-
DOI 10.1137/040616024
-
A. Buades, B. Coll, and J. M. Morel, "A review of image denoising algorithms, with a new one," Multiscale Modeling Simul., vol. 4, no. 2, pp. 490-530, 2005 (Pubitemid 43890582)
-
(2005)
Multiscale Modeling and Simulation
, vol.4
, Issue.2
, pp. 490-530
-
-
Buades, A.1
Coll, B.2
Morel, J.M.3
-
14
-
-
77952739016
-
Non-local sparse models for image restoration
-
J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman, "Non-local sparse models for image restoration," in Proc. IEEE 12th Int. Conf. Comput. Vis., 2009, pp. 2272-2279
-
(2009)
Proc. IEEE 12th Int. Conf. Comput. Vis
, pp. 2272-2279
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
Zisserman, A.5
-
15
-
-
84877927306
-
Hyperspectral imagery restoration using nonlocal spectral-spatial structured sparse representation with noise estimation
-
Ar
-
Y. Qian and M. Ye, "Hyperspectral imagery restoration using nonlocal spectral-spatial structured sparse representation with noise estimation," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 2, pp. 499-515, Apr. 2013
-
(2013)
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens
, vol.6
, Issue.2
, pp. 499-515
-
-
Qian, Y.1
Ye, M.2
-
16
-
-
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
-
17
-
-
0034144761
-
N) Approximation of Higher-Order Tensors
-
DOI 10.1137/S0895479898346995
-
L. D. Lathauwer, B. D. Moor, and J. Vandewalle, "On the best rank-1 and rank-(r1, r2, r n) approximation of higher-order tensors," SIAM J. Matrix Anal. Appl., vol. 21, no. 4, pp. 1324-1342, Mar. 2000 (Pubitemid 33217072)
-
(2000)
SIAM Journal on Matrix Analysis and Applications
, vol.21
, Issue.4
, pp. 1324-1342
-
-
De Lathauwer, L.1
De Moor, B.2
Vandewalle, J.3
-
18
-
-
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
-
19
-
-
84878161661
-
Hyperspectral image processing by jointly filtering wavelet component tensor
-
Jun
-
T. Lin and S. Bourennane, "Hyperspectral image processing by jointly filtering wavelet component tensor," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 6, pp. 3529-3541, Jun. 2013
-
(2013)
IEEE Trans. Geosci. Remote Sens
, vol.51
, Issue.6
, pp. 3529-3541
-
-
Lin, T.1
Bourennane, S.2
-
20
-
-
44049111982
-
Nonlinear total variation based noise removal algorithms
-
Nov
-
L. I. Rudin, S. Osher, and E. Fatemi, "Nonlinear total variation based noise removal algorithms," Phys. D, Nonlin. Phenom., vol. 60, no. 1-4, pp. 259-268, Nov. 1992
-
(1992)
Phys. D, Nonlin. Phenom
, vol.60
, Issue.1-4
, pp. 259-268
-
-
Rudin, L.I.1
Osher, S.2
Fatemi, E.3
-
21
-
-
85037540482
-
Hyperspectral image denoising with cubic total variation model
-
H. Zhang, "Hyperspectral image denoising with cubic total variation model," in Proc. ISPRS Ann. Photogramm., Remote Sens. Spatial Inf. Sci., 2012, vol. I-7, pp. 95-98
-
(2012)
Proc. ISPRS Ann. Photogramm., Remote Sens. Spatial Inf. Sci
, vol.I7
, pp. 95-98
-
-
Zhang, H.1
-
22
-
-
84867063792
-
Hyperspectral image denoising employing a spectral-spatial adaptive total variation model
-
Oct
-
Q. Yuan, L. Zhang, and H. Shen, "Hyperspectral image denoising employing a spectral-spatial adaptive total variation model," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 10, pp. 3660-3677, Oct. 2012
-
(2012)
IEEE Trans. Geosci. Remote Sens
, vol.50
, Issue.10
, pp. 3660-3677
-
-
Yuan, Q.1
Zhang, L.2
Shen, H.3
-
23
-
-
84901838685
-
Hyperspectral image denoising using first order spectral roughness penalty in wavelet domain
-
to be published
-
B. Rasti, J. R. Sveinsson, M. O. Ulfarsson, and J. A. Benediktsson, "Hyperspectral image denoising using first order spectral roughness penalty in wavelet domain," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., to be published
-
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens
-
-
Rasti, B.1
Sveinsson, J.R.2
Ulfarsson, M.O.3
Benediktsson, J.A.4
-
24
-
-
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
-
25
-
-
85032751971
-
The dual-tree complex wavelet transform
-
DOI 10.1109/MSP.2005.1550194
-
I. Selesnick, R. Baraniuk, and N. Kingsbury, "The dual-Tree complex wavelet transform," IEEE Signal Process. Mag., vol. 22, no. 6, pp. 123-151, Nov. 2005 (Pubitemid 46404908)
-
(2005)
IEEE Signal Processing Magazine
, vol.22
, Issue.6
, pp. 123-151
-
-
Selesnick, I.W.1
Baraniuk, R.G.2
Kingsbury, N.G.3
-
26
-
-
0036844073
-
Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
-
DOI 10.1109/TSP.2002.804091
-
L. Sendur and I.W. Selesnick, "Bivariate shrinkage functions for waveletbased denoising exploiting interscale dependency," IEEE Trans. Signal Process., vol. 50, no. 11, pp. 2744-2756, Nov. 2002 (Pubitemid 35312118)
-
(2002)
IEEE Transactions on Signal Processing
, vol.50
, Issue.11
, pp. 2744-2756
-
-
Sendur, L.1
Selesnick, I.W.2
-
27
-
-
84870008841
-
Denoising of hyperspectral imagery by combining PCA with block-matching 3-D filtering
-
Dec
-
G. Chen, S-E. Qian, and S. Gleason, "Denoising of hyperspectral imagery by combining PCA with block-matching 3-D filtering," Can. J. Remote Sens., vol. 37, no. 6, pp. 590-595, Dec. 2011
-
(2011)
Can. J. Remote Sens
, vol.37
, Issue.6
, pp. 590-595
-
-
Chen, G.1
Qian, S.-E.2
Gleason, S.3
-
28
-
-
33645655614
-
Image denoising with block-matching and 3D filtering
-
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising with block-matching and 3D filtering," in Proc. SPI Electron. Imaging, 2006, vol. 6064, pp. 354-365
-
(2006)
Proc. SPI Electron. Imaging
, vol.6064
, pp. 354-365
-
-
Dabov, K.1
Foi, A.2
Katkovnik, V.3
Egiazarian, K.4
-
29
-
-
34547760736
-
Image denoising by sparse 3-D transform-domain collaborative filtering
-
DOI 10.1109/TIP.2007.901238
-
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by sparse 3-D transform-domain collaborative filtering," IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, Aug. 2007 (Pubitemid 47225460)
-
(2007)
IEEE Transactions on Image Processing
, vol.16
, Issue.8
, pp. 2080-2095
-
-
Dabov, K.1
Foi, A.2
Katkovnik, V.3
Egiazarian, K.4
-
30
-
-
30844441893
-
Signal reconstruction in sensor arrays using sparse representations
-
DOI 10.1016/j.sigpro.2005.05.033, PII S0165168405002252, Sparse Approximations in Signal and Image Processing
-
D. Model and M. Zibulevsky, "Signal reconstruction in sensor arrays using sparse representations," Signal Process., vol. 86, no. 3, pp. 624-638, Mar. 2006 (Pubitemid 43106575)
-
(2006)
Signal Processing
, vol.86
, Issue.3
, pp. 624-638
-
-
Model, D.1
Zibulevsky, M.2
-
31
-
-
84935897816
-
A survey of sparse component analysis for blind source separation: Principles, perspectives, new challenges
-
R. Gribonval and S. Lesage, "A survey of sparse component analysis for blind source separation: Principles, perspectives, new challenges," in Proc. ESANN, 2006, pp. 323-330
-
(2006)
Proc. ESANN
, pp. 323-330
-
-
Gribonval, R.1
Lesage, S.2
-
32
-
-
84862549633
-
Image super-resolution with sparse neighbor embedding
-
Jul
-
X. Gao, K. Zhang, D. Tao, and X. Li, "Image super-resolution with sparse neighbor embedding," IEEE Trans. Image Process., vol. 21, no. 7, pp. 3194-3205, Jul. 2012
-
(2012)
IEEE Trans. Image Process
, vol.21
, Issue.7
, pp. 3194-3205
-
-
Gao, X.1
Zhang, K.2
Tao, D.3
Li, X.4
-
33
-
-
84871666572
-
Double shrinking sparse dimension reduction
-
Jan
-
T. Zhou and D. Tao, "Double shrinking sparse dimension reduction," IEEE Trans. Image Process., vol. 22, no. 1, pp. 244-257, Jan. 2013
-
(2013)
IEEE Trans. Image Process
, vol.22
, Issue.1
, pp. 244-257
-
-
Zhou, T.1
Tao, D.2
-
34
-
-
27744574209
-
Image decomposition via the combination of sparse representations and a variational approach
-
DOI 10.1109/TIP.2005.852206
-
J-L. Starck, M. Elad, and D. Donoho, "Image decomposition via the combination of sparse representations and a variational approach," IEEE Trans. Image Process., vol. 14, no. 10, pp. 1570-1582, Oct. 2005 (Pubitemid 41623087)
-
(2005)
IEEE Transactions on Image Processing
, vol.14
, Issue.10
, pp. 1570-1582
-
-
Starck, J.-L.1
Elad, M.2
Donoho, D.L.3
-
35
-
-
0003479606
-
-
Berlin Germany: Springer Verlag, ser. Lecture Notes in Statistics. [Online]. Available
-
G. Reinsel and R. Velu, Multivariate Reduced-Rank Regression: Theory and Applications. Berlin, Germany: Springer-Verlag, 1998, ser. Lecture Notes in Statistics. [Online]. Available: Http://books.google.is/books? id=QZJlQgAACAAJ
-
(1998)
Multivariate Reduced-Rank Regression: Theory and Applications
-
-
Reinsel, G.1
Velu, R.2
-
36
-
-
77956215911
-
Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reducedrank regression approach
-
Nov
-
M. Vounou, T. E. Nichols, and G.Montana, "Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reducedrank regression approach," NeuroImage, vol. 53, no. 3, pp. 1147-1159, Nov. 2010
-
(2010)
NeuroImage
, vol.53
, Issue.3
, pp. 1147-1159
-
-
Vounou, M.1
Nichols, T.E.2
Montana, G.3
-
38
-
-
33745309913
-
Sparse principal component analysis
-
DOI 10.1198/106186006X113430
-
H. Zou, T. Hastie, and R. Tibshirani, "Sparse principal component analysis," J. Comput. Graph. Stat., vol. 15, no. 2, pp. 265-286, Jun. 2006 (Pubitemid 43935978)
-
(2006)
Journal of Computational and Graphical Statistics
, vol.15
, Issue.2
, pp. 265-286
-
-
Zou, H.1
Hastie, T.2
Tibshirani, R.3
-
39
-
-
70449483397
-
Signal restorationwith overcomplete wavelet transforms: Comparison of analysis and synthesis priors
-
I.W. Selesnick andM.A. T. Figueiredo, "Signal restorationwith overcomplete wavelet transforms: Comparison of analysis and synthesis priors," in Proc. SPIE Wavelets XIII, 2009, vol. 7446, pp. 74460D-1-74460D-15
-
(2009)
Proc. SPIE Wavelets XIII
, vol.7446
-
-
Selesnick, I.W.1
Figueiredo, M.A.T.2
-
40
-
-
0003456805
-
-
Third Edition: The Sparse Way, 3rd ed. San Diego, CA, USA: Academic
-
S. Mallat, In a Wavelet Tour of Signal Processing, Third Edition: The Sparse Way, 3rd ed. San Diego, CA, USA: Academic, 2008
-
(2008)
A Wavelet Tour of Signal Processing
-
-
Mallat, S.1
-
41
-
-
0000169918
-
Estimation of the mean of a multivariate normal distribution
-
Nov
-
C. M. Stein, "Estimation of the mean of a multivariate normal distribution," Ann. Stat., vol. 9, no. 6, pp. 1135-1151, Nov. 1981
-
(1981)
Ann. Stat
, vol.9
, Issue.6
, pp. 1135-1151
-
-
Stein, C.M.1
-
42
-
-
84869498000
-
Automatic generation of standard deviation attribute profiles for spectral-spatial classification of remote sensing data
-
Mar
-
P. R. Marpu, M. Pedergnana, M. D. Mura, J. A. Benediktsson, and L. Bruzzone, "Automatic generation of standard deviation attribute profiles for spectral-spatial classification of remote sensing data," IEEE Geosci. Remote Sensing Lett., vol. 10, no. 2, pp. 293-297, Mar. 2013
-
(2013)
IEEE Geosci. Remote Sensing Lett
, vol.10
, Issue.2
, pp. 293-297
-
-
Marpu, P.R.1
Pedergnana, M.2
Mura, M.D.3
Benediktsson, J.A.4
Bruzzone, L.5
-
43
-
-
84899967600
-
Advances in spectral-spatial classification of hyperspectral images
-
Mar
-
M. Fauvel, Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. Tilton, "Advances in spectral-spatial classification of hyperspectral images," Proc. IEEE, vol. 101, no. 3, pp. 652-675, Mar. 2013
-
(2013)
Proc. IEEE
, vol.101
, Issue.3
, pp. 652-675
-
-
Fauvel, M.1
Tarabalka, Y.2
Benediktsson, J.A.3
Chanussot, J.4
Tilton, J.5
-
44
-
-
84878147291
-
A novel technique for optimal feature selection in attribute profiles based on genetic algorithms
-
Jun
-
M. Pedergnana, P. R. Marpu, M. Dalla Mura, J. A. Benediktsson, and L. Bruzzone, "A novel technique for optimal feature selection in attribute profiles based on genetic algorithms," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 6, pp. 3514-3528, Jun. 2013.
-
(2013)
IEEE Trans. Geosci. Remote Sens
, vol.51
, Issue.6
, pp. 3514-3528
-
-
Pedergnana, M.1
Marpu, P.R.2
Dalla Mura, M.3
Benediktsson, J.A.4
Bruzzone, L.5
|