-
1
-
-
4344614511
-
Classification of hyperspectral remote sensing images with support vector machines
-
F. Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines," IEEE Trans. Geosci. Remote Sens. 42, 1778-1790 (2004).
-
(2004)
IEEE Trans. Geosci. Remote Sens.
, vol.42
, pp. 1778-1790
-
-
Melgani, F.1
Bruzzone, L.2
-
2
-
-
84555223724
-
Use of weighting algorithms to improve traditional support vector machine based classifications of relflectance data
-
B. Qi, C. Zhao, E. Youn, and C. Nansen, "Use of weighting algorithms to improve traditional support vector machine based classifications of relflectance data," Opt. Express 19, 26816-26826 (2011).
-
(2011)
Opt. Express
, vol.19
, pp. 26816-26826
-
-
Qi, B.1
Zhao, C.2
Youn, E.3
Nansen, C.4
-
3
-
-
41849112041
-
Customizing kernel functions for SVM-based hyperspectral image classification
-
B. Guo, S. R. Gunn, R. I. Damper, and J. D. B. Nelson, "Customizing kernel functions for SVM-based hyperspectral image classification," IEEE Trans. Image Process. 17, 622-629 (2008).
-
(2008)
IEEE Trans. Image Process.
, vol.17
, pp. 622-629
-
-
Guo, B.1
Gunn, S.R.2
Damper, R.I.3
Nelson, J.D.B.4
-
4
-
-
84942368799
-
Feature weighting algorithms for classification of hyperspectral images using a support vector machine
-
B. Qi, C. Zhao, and G. Yin, "Feature weighting algorithms for classification of hyperspectral images using a support vector machine," Appl. Opt. 53, 2839-2846 (2014).
-
(2014)
Appl. Opt.
, vol.53
, pp. 2839-2846
-
-
Qi, B.1
Zhao, C.2
Yin, G.3
-
5
-
-
56849127860
-
Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
-
M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles," IEEE Trans. Geosci. Remote Sens. 46, 3804-3814 (2008).
-
(2008)
IEEE Trans. Geosci. Remote Sens.
, vol.46
, pp. 3804-3814
-
-
Fauvel, M.1
Benediktsson, J.A.2
Chanussot, J.3
Sveinsson, J.R.4
-
6
-
-
34249753618
-
Support-vector networks
-
C. Cortes and V. Vapnik, "Support-vector networks," Mach. Learn. 20, 273-297 (1995).
-
(1995)
Mach. Learn.
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
7
-
-
77951295936
-
Feature selection for classification of hyperspectral data by SVM
-
M. Pal and G. M. Foody, "Feature selection for classification of hyperspectral data by SVM," IEEE Trans. Geosci. Remote Sens. 48, 2297-2307 (2010).
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, pp. 2297-2307
-
-
Pal, M.1
Foody, G.M.2
-
8
-
-
33750798496
-
Toward an optimal SVM classification system for hyperspectral remote sensing images
-
Y. Bazi and F. Melgani, "Toward an optimal SVM classification system for hyperspectral remote sensing images," IEEE Trans. Geosci. Remote Sens. 44, 3374-3385 (2006).
-
(2006)
IEEE Trans. Geosci. Remote Sens.
, vol.44
, pp. 3374-3385
-
-
Bazi, Y.1
Melgani, F.2
-
9
-
-
84891831761
-
A kernel-based feature selection method for SVM with RBF kernel for hyperspectral image classification
-
B.-C. Kuo, H.-H. Ho, C.-H. Li, C.-C. Hung, and J.-S. Taur, "A kernel-based feature selection method for SVM with RBF kernel for hyperspectral image classification," IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 7, 317-326 (2014).
-
(2014)
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.
, vol.7
, pp. 317-326
-
-
Kuo, B.-C.1
Ho, H.-H.2
Li, C.-H.3
Hung, C.-C.4
Taur, J.-S.5
-
10
-
-
84899990796
-
Optimizing subspace SVM ensemble for hyperspectral imagery classification
-
Y. Chen, X. Zhao, and Z. Lin, "Optimizing subspace SVM ensemble for hyperspectral imagery classification," IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens. 7, 1295-1305 (2014).
-
(2014)
IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens.
, vol.7
, pp. 1295-1305
-
-
Chen, Y.1
Zhao, X.2
Lin, Z.3
-
11
-
-
84905910095
-
Harmonic analysis for hyperspectral image classification integrated with PSO optimized SVM
-
Z. Xue, P. Du, and H. Su, "Harmonic analysis for hyperspectral image classification integrated with PSO optimized SVM," IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens. 7, 2131-2146 (2014).
-
(2014)
IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens.
, vol.7
, pp. 2131-2146
-
-
Xue, Z.1
Du, P.2
Su, H.3
-
12
-
-
84879991207
-
Contextual SVM using Hilbert space embedding for hyperspectral classification
-
P. Gurram and H. Kwon, "Contextual SVM using Hilbert space embedding for hyperspectral classification," IEEE Geosci. Remote Sens. Lett. 10, 1031-1035 (2013).
-
(2013)
IEEE Geosci. Remote Sens. Lett.
, vol.10
, pp. 1031-1035
-
-
Gurram, P.1
Kwon, H.2
-
13
-
-
84899919914
-
A novel hierarchical semisupervised SVM for classification of hyperspectral images
-
Z. Shao, L. Zhang, X. Zhou, and L. Ding, "A novel hierarchical semisupervised SVM for classification of hyperspectral images," IEEE Geosci. Remote Sens. Lett. 11, 1609-1613 (2014).
-
(2014)
IEEE Geosci. Remote Sens. Lett.
, vol.11
, pp. 1609-1613
-
-
Shao, Z.1
Zhang, L.2
Zhou, X.3
Ding, L.4
-
14
-
-
84880301480
-
Optimized Laplacian SVM with distance metric learning for hyperspectral image classification
-
Y. Gu and K. Feng, "Optimized Laplacian SVM with distance metric learning for hyperspectral image classification," IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens. 6, 1109-1117 (2013).
-
(2013)
IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens.
, vol.6
, pp. 1109-1117
-
-
Gu, Y.1
Feng, K.2
-
15
-
-
61549128441
-
Robust face recognition via sparse representation
-
J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Trans. Pattern Anal. Mach. Intell. 31, 210-227 (2009).
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, pp. 210-227
-
-
Wright, J.1
Yang, A.Y.2
Ganesh, A.3
Sastry, S.S.4
Ma, Y.5
-
16
-
-
84908542132
-
Use of sparse representation for pedestrian detection in thermal images
-
IEEE
-
B. Qi, V. John, Z. Liu, and S. Mita, "Use of sparse representation for pedestrian detection in thermal images," in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (IEEE, 2014), pp. 274-280.
-
(2014)
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
, pp. 274-280
-
-
Qi, B.1
John, V.2
Liu, Z.3
Mita, S.4
-
17
-
-
84904285443
-
Group-based sparse representation for image restoration
-
J. Zhang, D. Zhao, and W. Gao, "Group-based sparse representation for image restoration," IEEE Trans. Image Process. 23, 3336-3351 (2014).
-
(2014)
IEEE Trans. Image Process.
, vol.23
, pp. 3336-3351
-
-
Zhang, J.1
Zhao, D.2
Gao, W.3
-
18
-
-
80052946048
-
Feature-based sparse representation for image similarity assessment
-
L.-W. Kang, C.-Y. Hsu, H.-W. Chen, C.-S. Lu, C.-Y. Lin, and S.-C. Pei, "Feature-based sparse representation for image similarity assessment," IEEE Trans. Multimedia 13, 1019-1030 (2011).
-
(2011)
IEEE Trans. Multimedia
, vol.13
, pp. 1019-1030
-
-
Kang, L.-W.1
Hsu, C.-Y.2
Chen, H.-W.3
Lu, C.-S.4
Lin, C.-Y.5
Pei, S.-C.6
-
19
-
-
84890123096
-
Spatial-spectral kernel sparse representation for hyperspectral image classification
-
J. Liu, Z. Wu, Z. Wei, L. Xiao, and L. Sun, "Spatial-spectral kernel sparse representation for hyperspectral image classification," IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens. 6, 2462-2471 (2013).
-
(2013)
IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens.
, vol.6
, pp. 2462-2471
-
-
Liu, J.1
Wu, Z.2
Wei, Z.3
Xiao, L.4
Sun, L.5
-
20
-
-
0033076357
-
Using evolutionary programming and minimum description length principle for data mining of Bayesian networks
-
M. L. Wong, W. Lam, and K. S. Leung, "Using evolutionary programming and minimum description length principle for data mining of Bayesian networks," IEEE Trans. Pattern Anal. Mach. Intell. 21, 174-178 (1999).
-
(1999)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.21
, pp. 174-178
-
-
Wong, M.L.1
Lam, W.2
Leung, K.S.3
-
21
-
-
84867590733
-
Kernel dictionary learning
-
IEEE
-
H. V. Nguyen, V. M. Patel, N. M. Nasrabadi, and R. Chellappa, "Kernel dictionary learning," in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (IEEE, 2012), pp. 2021-2024.
-
(2012)
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
, pp. 2021-2024
-
-
Nguyen, H.V.1
Patel, V.M.2
Nasrabadi, N.M.3
Chellappa, R.4
-
22
-
-
33750383209
-
K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
-
M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation," IEEE Trans. Signal Process. 54, 4311-4322 (2006).
-
(2006)
IEEE Trans. Signal Process.
, vol.54
, pp. 4311-4322
-
-
Aharon, M.1
Elad, M.2
Bruckstein, A.3
-
23
-
-
33751379736
-
Image denoising via sparse and redundant representations over learned dictionaries
-
M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries," IEEE Trans. Image Process. 15, 3736-3745 (2006).
-
(2006)
IEEE Trans. Image Process.
, vol.15
, pp. 3736-3745
-
-
Elad, M.1
Aharon, M.2
-
24
-
-
0000874557
-
Theoretical foundations of the potential function method in pattern recognition learning
-
M. A. Aizerman, E. A. Braverman, and L. I. Rozonoer, "Theoretical foundations of the potential function method in pattern recognition learning," Automat. Remote Control 25, 821-837 (1964).
-
(1964)
Automat. Remote Control
, vol.25
, pp. 821-837
-
-
Aizerman, M.A.1
Braverman, E.A.2
Rozonoer, L.I.3
-
25
-
-
80053571096
-
Hyperspectral image classification using dictionary-based sparse representation
-
Y. Chen, N. M. Nasrabadi, and T. D. Tran, "Hyperspectral image classification using dictionary-based sparse representation," IEEE Trans. Geosci. Remote Sens. 49, 3973-3985 (2011).
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, pp. 3973-3985
-
-
Chen, Y.1
Nasrabadi, N.M.2
Tran, T.D.3
-
26
-
-
84890406126
-
Joint sparse representation for robust multimodal biometrics recognition
-
S. Shekhar, V. M. Patel, N. M. Nasrabadi, and R. Chellappa, "Joint sparse representation for robust multimodal biometrics recognition," IEEE Trans. Pattern Anal. Mach. Intell. 36, 113-126 (2014).
-
(2014)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.36
, pp. 113-126
-
-
Shekhar, S.1
Patel, V.M.2
Nasrabadi, N.M.3
Chellappa, R.4
-
27
-
-
64649083745
-
Signal recovery from random measurements via orthogonal matching pursuit
-
J. A. Tropp and A. C. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Trans. Inf. Theory 53, 4655-4666 (2007).
-
(2007)
IEEE Trans. Inf. Theory
, vol.53
, pp. 4655-4666
-
-
Tropp, J.A.1
Gilbert, A.C.2
-
28
-
-
20444432773
-
Kernel-based methods for hyperspectral image classification
-
C. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens. 43, 1351-1362 (2005).
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, pp. 1351-1362
-
-
Camps-Valls, C.1
Bruzzone, L.2
-
29
-
-
84871731919
-
Hyperspectral image classification via Kernel sparse representation
-
Y. Chen, N. M. Nasrabadi, and T. D. Tran, "Hyperspectral image classification via Kernel sparse representation," IEEE Trans. Geosci. Remote Sens. 51, 217-231 (2013).
-
(2013)
IEEE Trans. Geosci. Remote Sens.
, vol.51
, pp. 217-231
-
-
Chen, Y.1
Nasrabadi, N.M.2
Tran, T.D.3
-
30
-
-
77955828051
-
Efficient particle filtering via sparse Kernel density estimation
-
A. Banerjee and P. Burlina, "Efficient particle filtering via sparse Kernel density estimation," IEEE Trans. Image Process. 19, 2480-2490 (2010).
-
(2010)
IEEE Trans. Image Process.
, vol.19
, pp. 2480-2490
-
-
Banerjee, A.1
Burlina, P.2
-
31
-
-
73949106180
-
Hyperspectral agricultural mapping using support vector machine-based endmember extraction (SVM-BEE)
-
A. M. Filippi, R. Archibald, B. L. Bhaduri, and E. A. Bright, "Hyperspectral agricultural mapping using support vector machine-based endmember extraction (SVM-BEE)," Opt. Express 17, 23823-23842 (2009).
-
(2009)
Opt. Express
, vol.17
, pp. 23823-23842
-
-
Filippi, A.M.1
Archibald, R.2
Bhaduri, B.L.3
Bright, E.A.4
-
32
-
-
84903278535
-
Spectralspartial hyperspectral image classification via multiscale adaptive sparse representation
-
L. Fang, S. Li, X. Kang, and J. A. Benediktsson, "Spectralspartial hyperspectral image classification via multiscale adaptive sparse representation," IEEE Trans. Geosci. Remote Sens. 52, 7738-7749 (2014).
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, pp. 7738-7749
-
-
Fang, L.1
Li, S.2
Kang, X.3
Benediktsson, J.A.4
|