-
1
-
-
78049264379
-
Local manifold learning-based k-nearest-neighbor for hyperspectral image classification
-
Oct.
-
L. Ma, M. M. Crawford, and J. Tian, "Local manifold learning-based k-nearest-neighbor for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4099-4109, Oct. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.11
, pp. 4099-4109
-
-
Ma, L.1
Crawford, M.M.2
Tian, J.3
-
2
-
-
45849090383
-
Supervised classification of remotely sensed imagery using a modified k-NN technique
-
May
-
L. Samaniego, A. Bárdossy, and K. Schulz, "Supervised classification of remotely sensed imagery using a modified k-NN technique," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 7, pp. 2112-2125, May 2008.
-
(2008)
IEEE Trans. Geosci. Remote Sens.
, vol.46
, Issue.7
, pp. 2112-2125
-
-
Samaniego, L.1
Bárdossy, A.2
Schulz, K.3
-
3
-
-
0001364888
-
Gaussian maximum likelihood and contextual classification algorithms for multicrop classification
-
Jan.
-
S. D. Zenzo, R. Bernstein, S. Degloria, and H. Kolsky, "Gaussian maximum likelihood and contextual classification algorithms for multicrop classification," IEEE Trans. Geosci. Remote Sens., vol. GE-25, no. 6, pp. 805-814, Jan. 1987.
-
(1987)
IEEE Trans. Geosci. Remote Sens.
, vol.GE-25
, Issue.6
, pp. 805-814
-
-
Zenzo, S.D.1
Bernstein, R.2
Degloria, S.3
Kolsky, H.4
-
4
-
-
84865677926
-
Information fusion in the redundant wavelet transform domain for noise robust hyperspectral classification
-
Sep.
-
S. Prasad,W. Li, J. E. Fowler, and L. M. Bruce, "Information fusion in the redundant wavelet transform domain for noise robust hyperspectral classification," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 9, pp. 3474-3484, Sep. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, Issue.9
, pp. 3474-3484
-
-
Prasadw. Li, S.1
Fowler, J.E.2
Bruce, L.M.3
-
5
-
-
84888288979
-
Segmented mixture-of-Gaussian classification for hyperspectral image analysis
-
Jan.
-
S. Prasad, M. Cui, W. Li, and J. E. Fowler, "Segmented mixture-of-Gaussian classification for hyperspectral image analysis," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 1, pp. 138-142, Jan. 2014.
-
(2014)
IEEE Geosci. Remote Sens. Lett.
, vol.11
, Issue.1
, pp. 138-142
-
-
Prasad, S.1
Cui, M.2
Li, W.3
Fowler, J.E.4
-
6
-
-
4344614511
-
Classification of hyperspectral remote sensing images with support vector machines
-
Aug.
-
F.Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 8, pp. 1778-1790, Aug. 2004.
-
(2004)
IEEE Trans. Geosci. Remote Sens.
, vol.42
, Issue.8
, pp. 1778-1790
-
-
Melgani, F.1
Bruzzone, L.2
-
7
-
-
35348920168
-
Feature selection and classification of hyperspectral images with support vector machines
-
Oct.
-
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.
-
(2007)
IEEE Geosci. Remote Sens. Lett.
, vol.4
, Issue.4
, pp. 674-677
-
-
Archibald, R.1
Fann, G.2
-
8
-
-
61549128441
-
Robust face recognition via sparse representation
-
Feb.
-
J. A. Wright, A. Y. Yang,A.Ganesh, S. S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 2, pp. 210-227, Feb. 2009.
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.A.1
Yanga Ganesh, A.Y.2
Sastry, S.S.3
Ma, Y.4
-
9
-
-
84863011302
-
Sparse representation or collaborative representation: Which helps face recognition?
-
Barcelona, Spain
-
L. Zhang, M. Yang, and X. Feng, "Sparse representation or collaborative representation: Which helps face recognition?" in Proc. Int. Conf. Comput. Vis., Barcelona, Spain, 2011, pp. 471-478.
-
(2011)
Proc. Int. Conf. Comput. Vis.
, pp. 471-478
-
-
Zhang, L.1
Yang, M.2
Feng, X.3
-
10
-
-
80053571096
-
Hyperspectral image classification using dictionary-based sparse representation
-
Oct.
-
Y. Chen, N. M. Nasrabadi, and T. D. Tran, "Hyperspectral image classification using dictionary-based sparse representation," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 10, pp. 3973-3985, Oct. 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.10
, pp. 3973-3985
-
-
Chen, Y.1
Nasrabadi, N.M.2
Tran, T.D.3
-
11
-
-
84863021199
-
Hyperspectral image classification via kernel sparse representation
-
Baltimore, MD, USA
-
Y. Chen, N. M. Nasrabadiand, and T. D. Tran, "Hyperspectral image classification via kernel sparse representation," in Proc. Int. Conf. Image Process., Baltimore, MD, USA, 2011, pp. 1233-1236.
-
(2011)
Proc. Int. Conf. Image Process.
, pp. 1233-1236
-
-
Chen, Y.1
Nasrabadiand, N.M.2
Tran, T.D.3
-
12
-
-
84890436374
-
Nearest regularized subspace for hyperspectral classification
-
Mar.
-
W. Li, E. W. Tramel, S. Prasad, and J. E. Fowler, "Nearest regularized subspace for hyperspectral classification," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 1, pp. 477-489, Mar. 2013.
-
(2013)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.1
, pp. 477-489
-
-
Li, W.1
Tramel, E.W.2
Prasad, S.3
Fowler, J.E.4
-
13
-
-
84890459162
-
Sparsity promoting dimensionality reduction for classification of high dimensional hyperspectral images
-
Vancouver, Canada
-
M. Cui and S. Prasad, "Sparsity promoting dimensionality reduction for classification of high dimensional hyperspectral images," in Proc. Int. Conf. Acoust. Speech Signal Process., Vancouver, Canada, 2013, pp. 2154-2158.
-
(2013)
Proc. Int. Conf. Acoust. Speech Signal Process.
, pp. 2154-2158
-
-
Cui, M.1
Prasad, S.2
-
14
-
-
84870541423
-
Exploiting sparsity in hyperspectral image classification via graphical models
-
May
-
U. Srinivas, Y. Chen, V. Monga, N. M. Nasrabadi, and T. D. Tran, "Exploiting sparsity in hyperspectral image classification via graphical models," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 3, pp. 505-509, May 2013.
-
(2013)
IEEE Geosci. Remote Sens. Lett.
, vol.10
, Issue.3
, pp. 505-509
-
-
Srinivas, U.1
Chen, Y.2
Monga, V.3
Nasrabadi, N.M.4
Tran, T.D.5
-
15
-
-
33645712892
-
Compressed sensing
-
Apr.
-
D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.4
, pp. 1289-1306
-
-
Donoho, D.L.1
-
16
-
-
31744440684
-
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
-
Jan.
-
E. J. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf. Theory, vol. 52, no. 2, pp. 489-509, Jan. 2006.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.2
, pp. 489-509
-
-
Candès, E.J.1
Romberg, J.2
Tao, T.3
-
17
-
-
0032131292
-
Atomic decomposition by basis pursuit
-
Feb.
-
S. S. Chen, D. L. Donoho, and M. A. Saunders, "Atomic decomposition by basis pursuit," SIAM J. Sci. Comput., vol. 20, no. 1, pp. 33-61, Feb. 1998.
-
(1998)
SIAM J. Sci. Comput.
, vol.20
, Issue.1
, pp. 33-61
-
-
Chen, S.S.1
Donoho, D.L.2
Saunders, M.A.3
-
18
-
-
34547688865
-
An interior-point method for large-scale l1-regularized logistic regression
-
Dec.
-
K. Koh, S. Kim, and S. Boyd, "An interior-point method for large-scale l1-regularized logistic regression," J. Mach. Learn. Res., vol. 8, no. 8, pp. 1519-1555, Dec. 2007.
-
(2007)
J. Mach. Learn. Res.
, vol.8
, Issue.8
, pp. 1519-1555
-
-
Koh, K.1
Kim, S.2
Boyd, S.3
-
19
-
-
64649083745
-
Signal recovery from random measurements via orthogonal matching pursuit
-
Dec.
-
J. A. Tropp and A. C. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Trans. Inf. Theory, vol. 53, no. 12, pp. 4655-4666, Dec. 2007.
-
(2007)
IEEE Trans. Inf. Theory
, vol.53
, Issue.12
, pp. 4655-4666
-
-
Tropp, J.A.1
Gilbert, A.C.2
-
20
-
-
85032751123
-
Manifold-learningbased feature extraction for classification of hyperspectral data
-
Jan.
-
D. Lunga, S. Prasad, M. Crawford, and O. Ersoy, "Manifold-learningbased feature extraction for classification of hyperspectral data," IEEE Signal Process. Mag., vol. 31, no. 1, pp. 55-66, Jan. 2014.
-
(2014)
IEEE Signal Process. Mag.
, vol.31
, Issue.1
, pp. 55-66
-
-
Lunga, D.1
Prasad, S.2
Crawford, M.3
Ersoy, O.4
-
21
-
-
14644422171
-
Exploitingmanifold geometry in hyperspectral imagery
-
Mar.
-
C. M. Bachmann, T. L. Ainsworth, and R. A. Fusina, "Exploitingmanifold geometry in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 441-454, Mar. 2005.
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, Issue.3
, pp. 441-454
-
-
Bachmann, C.M.1
Ainsworth, T.L.2
Fusina, R.A.3
-
22
-
-
8644228268
-
Locality preserving projections
-
Vancouver, Canada
-
X. He and P. Niyogi, "Locality preserving projections," in Proc. Conf. Adv. Neural Inf. Process. Syst., Vancouver, Canada, 2003, pp. 234-241.
-
(2003)
Proc. Conf. Adv. Neural Inf. Process. Syst.
, pp. 234-241
-
-
He, X.1
Niyogi, P.2
-
23
-
-
34249086815
-
Dimensionaltity reduction of multimodal labeled data by local Fisher discriminant analysis
-
May
-
M. Sugiyama, "Dimensionaltity reduction of multimodal labeled data by local Fisher discriminant analysis," J. Mach. Learn. Res., vol. 8, no. 5, pp. 1027-1061, May 2007.
-
(2007)
J. Mach. Learn. Res.
, vol.8
, Issue.5
, pp. 1027-1061
-
-
Sugiyama, M.1
-
24
-
-
84880282493
-
Locality preserving genetic algorithms for spatial-spectral hyperspectral image classification
-
Jun.
-
M. Cui, S. Prasad, W. Li, and L. M. Bruce, "Locality preserving genetic algorithms for spatial-spectral hyperspectral image classification," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 3, pp. 1688-1697, Jun. 2013.
-
(2013)
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens.
, vol.6
, Issue.3
, pp. 1688-1697
-
-
Cui, M.1
Prasad, S.2
Li, W.3
Bruce, L.M.4
-
25
-
-
0036643065
-
Kernel matching pursuit
-
P. Vincent and Y. Bengio, "Kernel matching pursuit," Mach. Learn., vol. 48, no. 1-3, pp. 165-187, 2002.
-
(2002)
Mach. Learn.
, vol.48
, Issue.1-3
, pp. 165-187
-
-
Vincent, P.1
Bengio, Y.2
-
26
-
-
80052307660
-
Locality-preserving discriminant analysis in kernel-induced feature spaces for hyperspectral image classification
-
Sep.
-
W. Li, S. Prasad, J. E. Fowler, and L. M. Bruce, "Locality-preserving discriminant analysis in kernel-induced feature spaces for hyperspectral image classification," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 5, pp. 894-898, Sep. 2011.
-
(2011)
IEEE Geosci. Remote Sens. Lett.
, vol.8
, Issue.5
, pp. 894-898
-
-
Li, W.1
Prasad, S.2
Fowler, J.E.3
Bruce, L.M.4
-
27
-
-
15944411032
-
A collection of data for urban area characterization
-
Anchorage, AK, USA,Sep.
-
P. Gamba, "A collection of data for urban area characterization," in Proc. Int. Geosci. Remote Sens. Symp., Anchorage, AK, USA, Sep. 2004, pp. 69-72.
-
(2004)
Proc. Int. Geosci. Remote Sens. Symp.
, pp. 69-72
-
-
Gamba, P.1
|