-
1
-
-
85032751930
-
Spectral unmixing
-
DOI 10.1109/79.974727
-
N. Keshava and J. F. Mustard, Spectral unmixing, IEEE Signal Process. Mag., vol. 19, no. 1, pp. 44-57, Jan. 2002. (Pubitemid 34237207)
-
(2002)
IEEE Signal Processing Magazine
, vol.19
, Issue.1
, pp. 44-57
-
-
Keshava, N.1
Mustard, J.F.2
-
2
-
-
70350450305
-
Nonlinear mixture model for hyperspectral unmixing
-
J. M. P. Nascimento and J. M. Bioucas-Dias, Nonlinear mixture model for hyperspectral unmixing, in Proc. SPIE, 2009, vol. 7477, p. 74 770I.
-
(2009)
Proc. SPIE
, vol.7477
-
-
Nascimento, J.M.P.1
Bioucas-Dias, J.M.2
-
3
-
-
77957976782
-
Nonlinear spectral mixture analysis for hyperspectral imagery in an unknown environment
-
Oct
-
N. Raksuntorn and Q. Du, Nonlinear spectral mixture analysis for hyperspectral imagery in an unknown environment, IEEE Geosci. Remote Sens. Lett., vol. 7, no. 4, pp. 836-840, Oct. 2010.
-
(2010)
IEEE Geosci. Remote Sens. Lett
, vol.7
, Issue.4
, pp. 836-840
-
-
Raksuntorn, N.1
Du, Q.2
-
4
-
-
80455158223
-
Nonlinear unmixing of hyperspectral images using a generalized bilinear model
-
Nov
-
A. Halimi, Y. Altman, N. Dobigeon, and J.-Y. Tourneret, Nonlinear unmixing of hyperspectral images using a generalized bilinear model, IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4153-4162, Nov. 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens
, vol.49
, Issue.11
, pp. 4153-4162
-
-
Halimi, A.1
Altman, Y.2
Dobigeon, N.3
Tourneret, J.-Y.4
-
5
-
-
84861144324
-
Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hyperspectral imagery
-
Jun.
-
Y. Altmann, A. Halimi, N. Dobigeon, and J.-Y. Tourneret, Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hyperspectral imagery, IEEE Trans. Image Process., vol. 21, no. 6, pp. 3017-3025, Jun. 2012.
-
(2012)
IEEE Trans. Image Process
, vol.21
, Issue.6
, pp. 3017-3025
-
-
Altmann, Y.1
Halimi, A.2
Dobigeon, N.3
Tourneret, J.-Y.4
-
6
-
-
79957443437
-
Non-linear spectral unmixing by geodesic simplex volume maximization
-
Jun
-
R. Heylen, D. Burazerovic, and P. Scheunders, Non-linear spectral unmixing by geodesic simplex volume maximization, IEEE J. Sel. Topics Signal Process., vol. 5, no. 3, pp. 534-542, Jun. 2011.
-
(2011)
IEEE J. Sel. Topics Signal Process
, vol.5
, Issue.3
, pp. 534-542
-
-
Heylen, R.1
Burazerovic, D.2
Scheunders, P.3
-
7
-
-
84873183850
-
Hyperspectral image unmixing using manifold learning methods derivations and comparative tests
-
H. N. Nguyen, C. Richard, P. Honeine, and C. Theys, Hyperspectral image unmixing using manifold learning methods derivations and comparative tests, in Proc. IEEE IGARSS, 2012, pp. 3086-3089.
-
(2012)
Proc IEEE IGARSS
, pp. 3086-3089
-
-
Nguyen, H.N.1
Richard, C.2
Honeine, P.3
Theys, C.4
-
8
-
-
78049290930
-
A novel technique for subpixel image classification based on support vector machine
-
Nov
-
F. Bovolo, L. Bruzzone, and L. Carlin, A novel technique for subpixel image classification based on support vector machine, IEEE Trans. Image Process., vol. 19, no. 11, pp. 2983-2999, Nov. 2010.
-
(2010)
IEEE Trans. Image Process
, vol.19
, Issue.11
, pp. 2983-2999
-
-
Bovolo, F.1
Bruzzone, L.2
Carlin, L.3
-
9
-
-
72049087378
-
Kernel fully constrained least squares abundance estimates
-
J. Broadwater, R. Chellappa, A. Banerjee, and P. Burlina, Kernel fully constrained least squares abundance estimates, in Proc. IEEE IGARSS, 2007, pp. 4041-4044.
-
(2007)
Proc IEEE IGARSS
, pp. 4041-4044
-
-
Broadwater, J.1
Chellappa, R.2
Banerjee, A.3
Burlina, P.4
-
10
-
-
79957459096
-
A comparison of kernel functions for intimate mixture models
-
J. Broadwater and A. Banerjee, A comparison of kernel functions for intimate mixture models, in Proc. IEEE IGARSS, 2009, pp. 1-4.
-
(2009)
Proc IEEE IGARSS
, pp. 1-4
-
-
Broadwater, J.1
Banerjee, A.2
-
11
-
-
84861304278
-
A novel kernel-based nonlinear unmixing scheme of hyperspectral images
-
J. Chen, C. Richard, and P. Honeine, A novel kernel-based nonlinear unmixing scheme of hyperspectral images, in Proc. ASILOMAR, 2011, pp. 1898-1902.
-
(2011)
Proc. ASILOMAR
, pp. 1898-1902
-
-
Chen, J.1
Richard, C.2
Honeine, P.3
-
12
-
-
84872104815
-
Nonlinear unmixing of hyperspectral data based on a linear-mixture/ nonlinear-fluctuation model
-
Jan.
-
J. Chen, C. Richard, and P. Honeine, Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model, IEEE Trans. Signal Process., vol. 61, no. 2, pp. 480-492, Jan. 2013.
-
(2013)
IEEE Trans. Signal Process
, vol.61
, Issue.2
, pp. 480-492
-
-
Chen, J.1
Richard, C.2
Honeine, P.3
-
13
-
-
84906545682
-
Nonlinear unmixing of hyperspectral images with multi-kernel learning
-
J. Chen, C. Richard, and P. Honeine, Nonlinear unmixing of hyperspectral images with multi-kernel learning, in Proc. IEEE WHISPERS, 2012, pp. 1-12.
-
(2012)
Proc IEEE WHISPERS
, pp. 1-12
-
-
Chen, J.1
Richard, C.2
Honeine, P.3
-
14
-
-
84890501290
-
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression
-
J. Chen, C. Richard, A. Ferrari, and P. Honeine, Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression, in Proc. IEEE ICASSP, 2013, pp. 2174-2178.
-
(2013)
Proc IEEE ICASSP
, pp. 2174-2178
-
-
Chen, J.1
Richard, C.2
Ferrari, A.3
Honeine, P.4
-
15
-
-
85038570643
-
Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model
-
J. Chen, C. Richard, and P. Honeine, Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model, in Proc. IEEE WHISPERS, 2013.
-
(2013)
Proc IEEE WHISPERS
-
-
Chen, J.1
Richard, C.2
Honeine, P.3
-
16
-
-
84872100099
-
Recent developments in endmember extraction and spectral unmixing
-
S. Prasad L. Bruce, and J. Chanussot, Eds. New York, NY, USA: Springer-Verlag
-
A. Plaza, G. Martn, J. Plaza, M. Zortea, and S. Snchez, Recent developments in endmember extraction and spectral unmixing, in Optical Remote Sensing: Advances in Signal Processing and Exploitation Techniques, S. Prasad, L. Bruce, and J. Chanussot, Eds. New York, NY, USA: Springer-Verlag, 2011, pp. 235-267.
-
(2011)
Optical Remote Sensing: Advances in Signal Processing and Exploitation Techniques
, pp. 235-267
-
-
Plaza, A.1
Martn, G.2
Plaza, J.3
Zortea, M.4
Snchez, S.5
-
17
-
-
34548036670
-
Integration of spatial-spectral information for the improved extraction of endmembers
-
DOI 10.1016/j.rse.2007.02.019, PII S0034425707000934
-
D. M. Rogge, B. Rivard, J. Zhang, A. Sanchez, J. Harris, and J. Feng, Integration of spatial-spectral information for the improved extraction of endmembers, Remote Sens. Environ., vol. 110, no. 3, pp. 287-303, Oct. 2007. (Pubitemid 47285207)
-
(2007)
Remote Sensing of Environment
, vol.110
, Issue.3
, pp. 287-303
-
-
Rogge, D.M.1
Rivard, B.2
Zhang, J.3
Sanchez, A.4
Harris, J.5
Feng, J.6
-
18
-
-
67949098957
-
Spatial preprocessing for endmember extraction
-
Aug
-
M. Zortea and A. Plaza, Spatial preprocessing for endmember extraction, IEEE Trans. Geosci. Remote Sens., vol. 47, no. 8, pp. 2679-2693, Aug. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens
, vol.47
, Issue.8
, pp. 2679-2693
-
-
Zortea, M.1
Plaza, A.2
-
19
-
-
79959766442
-
Region-based spatial preprocessing for endmember extraction and spectral unmixing
-
Jul
-
G. Martin and A. Plaza, Region-based spatial preprocessing for endmember extraction and spectral unmixing, IEEE Geosci. Remote Sens. Lett., vol. 8, no. 4, pp. 745-749, Jul. 2011.
-
(2011)
IEEE Geosci. Remote Sens. Lett
, vol.8
, Issue.4
, pp. 745-749
-
-
Martin, G.1
Plaza, A.2
-
20
-
-
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
-
21
-
-
80052087931
-
Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields
-
Mar.
-
J. Li, J. M. Bioucas-Dias, and A. Plaza, Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields, IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 809-823, Mar. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens
, vol.50
, Issue.3
, pp. 809-823
-
-
Li, J.1
Bioucas-Dias, J.M.2
Plaza, A.3
-
22
-
-
50249160592
-
Hyperspectral image unmixing via alternating projected subgradients
-
A. Zymnis, S. J. Kim, J. Skaf, M. Parente, and S. Boyd, Hyperspectral image unmixing via alternating projected subgradients, in Proc. ASILOMAR, 2007, pp. 1164-1168.
-
(2007)
Proc. ASILOMAR
, pp. 1164-1168
-
-
Zymnis, A.1
Kim, S.J.2
Skaf, J.3
Parente, M.4
Boyd, S.5
-
23
-
-
80455155174
-
Enhancing hyperspectral image unmixing with spatial correlations
-
Nov
-
O. Eches, N. Dobigeon, and J.-Y. Tourneret, Enhancing hyperspectral image unmixing with spatial correlations, IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4239-4247, Nov. 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens
, vol.49
, Issue.11
, pp. 4239-4247
-
-
Eches, O.1
Dobigeon, N.2
Tourneret, J.-Y.3
-
24
-
-
84869498082
-
Total variation spatial regularization for sparse hyperspectral unmixing
-
Nov.
-
M.-D. Iordache, J. Bioucas-Dias, and A. Plaza, Total variation spatial regularization for sparse hyperspectral unmixing, IEEE Trans. Geosci. Remote Sens., vol. 50, no. 11, pp. 4484-4502, Nov. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens
, vol.50
, Issue.11
, pp. 4484-4502
-
-
Iordache, M.-D.1
Bioucas-Dias, J.2
Plaza, A.3
-
25
-
-
36348990884
-
Spectral and spatial complexity-based hyperspectral unmixing
-
DOI 10.1109/TGRS.2007.898443
-
S. Jia and Y. Qian, Spectral and spatial complexity-based hyperspectral unmixing, IEEE Trans. Geosci. Remote Sens., vol. 45, no. 12, pp. 3867-3879, Dec. 2007. (Pubitemid 350157825)
-
(2007)
IEEE Transactions on Geoscience and Remote Sensing
, vol.45
, Issue.12
, pp. 3867-3879
-
-
Jia, S.1
Qian, Y.2
-
26
-
-
80955150938
-
Spatial-spectral unmixing using fuzzy local information
-
A. Zare, Spatial-spectral unmixing using fuzzy local information, in Proc. IEEE IGARSS, 2011, pp. 1139-1142.
-
(2011)
Proc IEEE IGARSS
, pp. 1139-1142
-
-
Zare, A.1
-
27
-
-
0030615903
-
Spatial autocorrelation analysis of hyperspectral imagery for feature selection
-
Apr
-
T. A. Warner and M. C. Shank, Spatial autocorrelation analysis of hyperspectral imagery for feature selection, Remote Sens. Environ., vol. 60, no. 1, pp. 58-70, Apr. 1997.
-
(1997)
Remote Sens. Environ
, vol.60
, Issue.1
, pp. 58-70
-
-
Warner, T.A.1
Shank, M.C.2
-
28
-
-
72049091789
-
Improving the quality of extracted endmembers
-
Q. Du, L. Zhang, and N. Raksuntorn, Improving the quality of extracted endmembers, in Proc. WHISPERS, 2009, pp. 1-4.
-
(2009)
Proc. WHISPERS
, pp. 1-4
-
-
Du, Q.1
Zhang, L.2
Raksuntorn, N.3
-
29
-
-
0003798627
-
-
Cambridge, MA, USA MIT Press
-
B. Schlkopf, J. C. Burges, and A. J. Smola, Advances in Kernel Methods. Cambridge, MA, USA: MIT Press, 1999.
-
(1999)
Advances in Kernel Methods
-
-
Schlkopf, B.1
Burges, J.C.2
Smola, A.J.3
-
30
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
DOI 10.1109/72.914517, PII S1045922701037146
-
K. Muller, S. Mika, G. Ratsch, K. Tsuda, and B. Scholkopf, An introduction to kernel-based learning algorithms, IEEE Trans. Neural Netw., vol. 12, no. 2, pp. 181-201, Mar. 2001. (Pubitemid 32371478)
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, Issue.2
, pp. 181-201
-
-
Muller, K.-R.1
Mika, S.2
Ratsch, G.3
Tsuda, K.4
Scholkopf, B.5
-
31
-
-
32544443001
-
An improved training algorithm for nonlinear kernel discriminants
-
Oct
-
F. Abdallah, C. Richard, and R. Lengell, An improved training algorithm for nonlinear kernel discriminants, IEEE Trans. Signal Process., vol. 52, no. 10, pp. 2798-2806, Oct. 2004.
-
(2004)
IEEE Trans. Signal Process
, vol.52
, Issue.10
, pp. 2798-2806
-
-
Abdallah, F.1
Richard, C.2
Lengell, R.3
-
32
-
-
84969334819
-
The split Bregman method for L1 regularized problems
-
T. Goldstein and S. Osher, The split Bregman method for L1 regularized problems, SIAM J. Imag. Sci., vol. 2, no. 2, pp. 323-343, 2009.
-
(2009)
SIAM J. Imag. Sci
, vol.2
, Issue.2
, pp. 323-343
-
-
Goldstein, T.1
Osher, S.2
-
33
-
-
85194972808
-
Regression shrinkage and selection via the Lasso
-
R. Tibshirani, Regression shrinkage and selection via the Lasso, J. Roy. Stat. Soc. Ser. B, vol. 58, no. 1, pp. 267-288, 1996.
-
(1996)
J. Roy. Stat. Soc. Ser. B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
34
-
-
0027113845
-
On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators
-
Apr
-
J. Eckstein and D. P. Bertsekas, On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators, Math. Program., vol. 55, no. 1-3, pp. 293-318, Apr. 1992.
-
(1992)
Math. Program
, vol.55
, Issue.1-3
, pp. 293-318
-
-
Eckstein, J.1
Bertsekas, D.P.2
-
35
-
-
60749136493
-
The ASTER spectral library version 20
-
Apr
-
A. M. Baldridge, S. J. Hook, C. I. Grove, and G. Rivera, The ASTER spectral library version 2.0, Remote Sens. Environ., vol. 113, no. 4, pp. 711-715, Apr. 2009.
-
(2009)
Remote Sens. Environ
, vol.113
, Issue.4
, pp. 711-715
-
-
Baldridge, A.M.1
Hook, S.J.2
Grove, C.I.3
Rivera, G.4
-
36
-
-
0035273728
-
Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery
-
DOI 10.1109/36.911111, PII S0196289201020861
-
D. C. Heinz and C.-I. Chang, Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery, IEEE Trans. Geosci. Remote Sens., vol. 39, no. 3, pp. 529-545, Mar. 2001. (Pubitemid 32400422)
-
(2001)
IEEE Transactions on Geoscience and Remote Sensing
, vol.39
, Issue.3
, pp. 529-545
-
-
Heinz, D.C.1
Chang, C.-I.2
-
37
-
-
80051762104
-
Distributed optimization and statistical learning via the alternating direction method of multipliers
-
Jan
-
S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, Distributed optimization and statistical learning via the alternating direction method of multipliers, Found. Trends Mach. Learn., vol. 3, no. 1, pp. 1-122, Jan. 2011.
-
(2011)
Found. Trends Mach. Learn
, vol.3
, Issue.1
, pp. 1-122
-
-
Boyd, S.1
Parikh, N.2
Chu, E.3
Peleato, B.4
Eckstein, J.5
-
38
-
-
67650436064
-
Recent advances in techniques for hyperspectral image processing
-
Sep
-
A. Plaza, J. A. Benediktsson, J. W. Boardman, J. Brazile, L. Bruzzone, G. Camps-Valls, J. Chanussot, M. Fauvel, P. Gamba, A. Gualtieri, M. Marconcini, J. C. Tilton, and G. Trianni, Recent advances in techniques for hyperspectral image processing, Remote Sens. Environ., vol. 113, no. Suppl. 1, pp. S110-S122, Sep. 2009.
-
(2009)
Remote Sens. Environ
, vol.113
, Issue.SUPPL. 1
-
-
Plaza, A.1
Benediktsson, J.A.2
Boardman, J.W.3
Brazile, J.4
Bruzzone, L.5
Camps-Valls, G.6
Chanussot, J.7
Fauvel, M.8
Gamba, P.9
Gualtieri, A.10
Marconcini, M.11
Tilton, J.C.12
Trianni, G.13
-
39
-
-
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
-
40
-
-
79960638416
-
Modeling and estimation of signal-dependent noise in hyperspectral imagery
-
Jul
-
J. Meola, M.-T. Eismann, R.-L. Moses, and J.-N. Ash, Modeling and estimation of signal-dependent noise in hyperspectral imagery, Appl. Opt., vol. 50, no. 21, pp. 3829-3846, Jul. 2011.
-
(2011)
Appl. Opt
, vol.50
, Issue.21
, pp. 3829-3846
-
-
Meola, J.1
Eismann, M.-T.2
Moses, R.-L.3
Ash, J.-N.4
-
41
-
-
72049125102
-
Signal-dependent noise modeling and estimation of newgeneration imaging spectrometers
-
L. Alparone, M. Selva, B. Aiazzi, S. Baronti, F. Butera, and L. Chiarantini, Signal-dependent noise modeling and estimation of newgeneration imaging spectrometers, in Proc. IEEE WHISPERS, 2009, pp. 1-4.
-
(2009)
Proc IEEE WHISPERS
, pp. 1-4
-
-
Alparone, L.1
Selva, M.2
Aiazzi, B.3
Baronti, S.4
Butera, F.5
Chiarantini, L.6
-
42
-
-
33747176570
-
Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers
-
B. Aiazzi, L. Alparone, S. Baronti, A. Barducci, P. Marcoionni, I. Pippi, and M. Selva, Noise modeling and estimation of hyperspectral data from airborne imaging spectrometer, Ann. Geophys., vol. 49, no. 1, pp. 1-9, Feb. 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
-
43
-
-
79959742177
-
Unmixing prior to supervised classification of remotely sensed hyperspectral images
-
Jul
-
I. Dopido, M. Zortea, A. Villa, A. Plaza, and P. Gamba, Unmixing prior to supervised classification of remotely sensed hyperspectral images, IEEE Geosci. Remote Sens. Lett., vol. 8, no. 4, pp. 760-764, Jul. 2011.
-
(2011)
IEEE Geosci. Remote Sens. Lett
, vol.8
, Issue.4
, pp. 760-764
-
-
Dopido, I.1
Zortea, M.2
Villa, A.3
Plaza, A.4
Gamba, P.5
|