-
1
-
-
33645712892
-
Compressed sensing
-
[1] Donoho, D.L., Compressed sensing. IEEE Trans. Inf. Theory 52:4 (2006), 1289–1306.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.4
, pp. 1289-1306
-
-
Donoho, D.L.1
-
2
-
-
85032751965
-
Compressive sensing
-
[2] Baraniuk, R.G., Compressive sensing. IEEE Signal Process. Mag. 24:4 (2007), 118–121.
-
(2007)
IEEE Signal Process. Mag.
, vol.24
, Issue.4
, pp. 118-121
-
-
Baraniuk, R.G.1
-
3
-
-
85032752276
-
Compressive sampling
-
[3] Baraniuk, R.G., Candès, E., Nowak, R., Vetterli, M., Compressive sampling. IEEE Signal Process. Mag. 25:2 (2008), 12–13.
-
(2008)
IEEE Signal Process. Mag.
, vol.25
, Issue.2
, pp. 12-13
-
-
Baraniuk, R.G.1
Candès, E.2
Nowak, R.3
Vetterli, M.4
-
4
-
-
85032750937
-
An introduction to compressive sampling
-
[4] Candès, E.J., Wakin, M.B., An introduction to compressive sampling. IEEE Signal Process. Mag. 25:2 (2008), 21–30.
-
(2008)
IEEE Signal Process. Mag.
, vol.25
, Issue.2
, pp. 21-30
-
-
Candès, E.J.1
Wakin, M.B.2
-
5
-
-
61549128441
-
Robust face recognition via sparse representation
-
[5] Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y., Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. 31:2 (2009), 210–227.
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.Y.2
Ganesh, A.3
Sastry, S.S.4
Ma, Y.5
-
6
-
-
84861338885
-
A fast and robust sparse approach for hyperspectral data classification using a few labeled samples
-
[6] Sami ul Haq, Q., Tao, L., Sun, F., Yang, S., A fast and robust sparse approach for hyperspectral data classification using a few labeled samples. IEEE Trans. Geosci. Remote Sens. 50:6 (2012), 2287–2302.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, Issue.6
, pp. 2287-2302
-
-
Sami ul Haq, Q.1
Tao, L.2
Sun, F.3
Yang, S.4
-
7
-
-
84903184768
-
Multiple kernel learning for sparse representation-based classification
-
[7] Shrivastava, A., Patel, V.M., Chellappa, R., Multiple kernel learning for sparse representation-based classification. IEEE Trans. Image Process. 23:7 (2014), 3013–3024.
-
(2014)
IEEE Trans. Image Process.
, vol.23
, Issue.7
, pp. 3013-3024
-
-
Shrivastava, A.1
Patel, V.M.2
Chellappa, R.3
-
8
-
-
84911935458
-
Robust face recognition via adaptive sparse representation
-
[8] Wang, J., Lu, C., Wang, M., Li, P., Yan, S., Hu, X., Robust face recognition via adaptive sparse representation. IEEE Trans. Cybern. 44:12 (2014), 2368–2378.
-
(2014)
IEEE Trans. Cybern.
, vol.44
, Issue.12
, pp. 2368-2378
-
-
Wang, J.1
Lu, C.2
Wang, M.3
Li, P.4
Yan, S.5
Hu, X.6
-
9
-
-
83655167265
-
Joint dynamic sparse representation for multiview face recognition
-
[9] Zhang, H., Nasrabadi, N.M., Zhang, Y., Huang, T.S., Joint dynamic sparse representation for multiview face recognition. Pattern Recogn. 45:4 (2012), 1290–1298.
-
(2012)
Pattern Recogn.
, vol.45
, Issue.4
, pp. 1290-1298
-
-
Zhang, H.1
Nasrabadi, N.M.2
Zhang, Y.3
Huang, T.S.4
-
10
-
-
84878483723
-
A new decision rule for sparse representation based classification for face recognition
-
[10] Li, J., Lu, C., A new decision rule for sparse representation based classification for face recognition. Neurocomputing 116 (2013), 265–271.
-
(2013)
Neurocomputing
, vol.116
, pp. 265-271
-
-
Li, J.1
Lu, C.2
-
11
-
-
84872493556
-
Pose-robust face recognition via sparse representation
-
[11] Zhang, H., Zhang, Y., Huang, T.S., Pose-robust face recognition via sparse representation. Pattern Recogn. 46:5 (2013), 1511–1521.
-
(2013)
Pattern Recogn.
, vol.46
, Issue.5
, pp. 1511-1521
-
-
Zhang, H.1
Zhang, Y.2
Huang, T.S.3
-
12
-
-
84865597888
-
Extended SRC: undersampled face recognition via intraclass variant dictionary
-
[12] Deng, W., Hu, J., Guo, J., Extended SRC: undersampled face recognition via intraclass variant dictionary. IEEE Trans. Pattern Anal. Mach. Intell. 34:9 (2012), 1864–1870.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.9
, pp. 1864-1870
-
-
Deng, W.1
Hu, J.2
Guo, J.3
-
13
-
-
84862649818
-
Learning sparse representations for human action recognition
-
[13] Guha, T., Ward, R.K., Learning sparse representations for human action recognition. IEEE Trans. Pattern Anal. Mach. Intell. 34:8 (2012), 1576–1588.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.8
, pp. 1576-1588
-
-
Guha, T.1
Ward, R.K.2
-
14
-
-
84875235975
-
Manifold-constrained coding and sparse representation for human action recognition
-
[14] Zhang, X., Yang, Y., Jiao, L., Dong, F., Manifold-constrained coding and sparse representation for human action recognition. Pattern Recogn. 46:7 (2013), 1819–1831.
-
(2013)
Pattern Recogn.
, vol.46
, Issue.7
, pp. 1819-1831
-
-
Zhang, X.1
Yang, Y.2
Jiao, L.3
Dong, F.4
-
15
-
-
84875274805
-
Latent semantic learning with structured sparse representation for human action recognition
-
[15] Lu, Z., Peng, Y., Latent semantic learning with structured sparse representation for human action recognition. Pattern Recogn. 46:7 (2013), 1799–1809.
-
(2013)
Pattern Recogn.
, vol.46
, Issue.7
, pp. 1799-1809
-
-
Lu, Z.1
Peng, Y.2
-
16
-
-
84881042898
-
Kernel-based sparse representation for gesture recognition
-
[16] Zhou, Y., Liu, K., Carrillo, R.E., Barner, K.E., Kiamilev, F., Kernel-based sparse representation for gesture recognition. Pattern Recogn. 46:12 (2013), 3208–3222.
-
(2013)
Pattern Recogn.
, vol.46
, Issue.12
, pp. 3208-3222
-
-
Zhou, Y.1
Liu, K.2
Carrillo, R.E.3
Barner, K.E.4
Kiamilev, F.5
-
17
-
-
84907816910
-
Sparse alignment for robust tensor learning
-
[17] Lai, Z., Wong, W.K., Xu, Y., Zhao, C., Sun, M., Sparse alignment for robust tensor learning. IEEE Trans. Neural Netw. Learn. Syst. 25:10 (2014), 1779–1792.
-
(2014)
IEEE Trans. Neural Netw. Learn. Syst.
, vol.25
, Issue.10
, pp. 1779-1792
-
-
Lai, Z.1
Wong, W.K.2
Xu, Y.3
Zhao, C.4
Sun, M.5
-
18
-
-
80455122805
-
Learning discriminative sparse representations for modeling, source separation, and mapping of hyperspectral imagery
-
[18] Castrodad, A., Xing, Z., Greer, J.B., Bosch, E., Carin, L., Sapiro, G., Learning discriminative sparse representations for modeling, source separation, and mapping of hyperspectral imagery. IEEE Trans. Geosci. Remote Sens. 49:11 (2011), 4263–4281.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.11
, pp. 4263-4281
-
-
Castrodad, A.1
Xing, Z.2
Greer, J.B.3
Bosch, E.4
Carin, L.5
Sapiro, G.6
-
19
-
-
85027941141
-
Parallel implementation of sparse representation classifiers for hyperspectral imagery on GPUs
-
[19] Wu, Z., Wang, Q., Plaza, A., Li, J., Wei, Z., Parallel implementation of sparse representation classifiers for hyperspectral imagery on GPUs. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 8:6 (2015), 2912–2925.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.8
, Issue.6
, pp. 2912-2925
-
-
Wu, Z.1
Wang, Q.2
Plaza, A.3
Li, J.4
Wei, Z.5
-
20
-
-
85027951816
-
Parallel spatial-spectral hyperspectral image classification with sparse representation and Markov random fields on GPUs
-
[20] Wu, Z., Wang, Q., Plaza, A., Li, J., Sun, L., Wei, Z., Parallel spatial-spectral hyperspectral image classification with sparse representation and Markov random fields on GPUs. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 8:6 (2015), 2926–2938.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.8
, Issue.6
, pp. 2926-2938
-
-
Wu, Z.1
Wang, Q.2
Plaza, A.3
Li, J.4
Sun, L.5
Wei, Z.6
-
21
-
-
85027923124
-
Sparse representation based on set-to-set distance for hyperspectral image classification
-
[21] Yuan, H., Tang, Y.Y., Sparse representation based on set-to-set distance for hyperspectral image classification. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 8:6 (2015), 2464–2472.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.8
, Issue.6
, pp. 2464-2472
-
-
Yuan, H.1
Tang, Y.Y.2
-
22
-
-
84925352112
-
Robust pedestrian detection in thermal infrared imagery using a shape distribution histogram feature and modified sparse representation classification
-
[22] Zhao, X., He, Z., Zhang, S., Liang, D., Robust pedestrian detection in thermal infrared imagery using a shape distribution histogram feature and modified sparse representation classification. Pattern Recogn. 48:6 (2015), 1947–1960.
-
(2015)
Pattern Recogn.
, vol.48
, Issue.6
, pp. 1947-1960
-
-
Zhao, X.1
He, Z.2
Zhang, S.3
Liang, D.4
-
23
-
-
85027948718
-
SAR target recognition via joint sparse representation of monogenic signal
-
[23] Dong, G., Kunag, G., Wang, N., Zhao, L., Lu, J., SAR target recognition via joint sparse representation of monogenic signal. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 8:7 (2015), 3316–3328.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.8
, Issue.7
, pp. 3316-3328
-
-
Dong, G.1
Kunag, G.2
Wang, N.3
Zhao, L.4
Lu, J.5
-
24
-
-
84941891466
-
Sparse representation-based ISAR imaging using Markov random fields
-
[24] Wang, L., Zhao, L., Bi, G., Wan, C., Sparse representation-based ISAR imaging using Markov random fields. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 8:8 (2015), 3941–3953.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.8
, Issue.8
, pp. 3941-3953
-
-
Wang, L.1
Zhao, L.2
Bi, G.3
Wan, C.4
-
25
-
-
85028199177
-
Fully polarimetric SAR image classification via sparse representation and polarimetric features
-
[25] Zhang, L., Sun, L., Zou, B., Moon, W., Fully polarimetric SAR image classification via sparse representation and polarimetric features. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 8:8 (2015), 3923–3932.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.8
, Issue.8
, pp. 3923-3932
-
-
Zhang, L.1
Sun, L.2
Zou, B.3
Moon, W.4
-
26
-
-
85027940164
-
SAR imaging with structure sparse representation
-
[26] Shen, F., Zhao, G., Liu, Z., Shi, G., Lin, J., SAR imaging with structure sparse representation. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 8:8 (2015), 3902–3910.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.8
, Issue.8
, pp. 3902-3910
-
-
Shen, F.1
Zhao, G.2
Liu, Z.3
Shi, G.4
Lin, J.5
-
27
-
-
84874649175
-
Sparse representation based autofocusing techniques for ISAR images
-
[27] Du, X., Duan, C., Hu, W., Sparse representation based autofocusing techniques for ISAR images. IEEE Trans. Geosci. Remote Sens. 51:3 (2013), 1826–1835.
-
(2013)
IEEE Trans. Geosci. Remote Sens.
, vol.51
, Issue.3
, pp. 1826-1835
-
-
Du, X.1
Duan, C.2
Hu, W.3
-
28
-
-
84880284941
-
Sparse representation of GPR traces with application to signal classification
-
[28] Shao, W., Bouzerdoum, A., Phung, S.L., Sparse representation of GPR traces with application to signal classification. IEEE Trans. Geosci. Remote Sens. 51:7 (2013), 3922–3930.
-
(2013)
IEEE Trans. Geosci. Remote Sens.
, vol.51
, Issue.7
, pp. 3922-3930
-
-
Shao, W.1
Bouzerdoum, A.2
Phung, S.L.3
-
29
-
-
84883814326
-
Remote sensing image fusion via sparse representation over learned dictionaries
-
[29] Li, S., Yin, H., Fang, L., Remote sensing image fusion via sparse representation over learned dictionaries. IEEE Trans. Geosci. Remote Sens. 51:9 (2013), 4779–4789.
-
(2013)
IEEE Trans. Geosci. Remote Sens.
, vol.51
, Issue.9
, pp. 4779-4789
-
-
Li, S.1
Yin, H.2
Fang, L.3
-
30
-
-
85027933249
-
Task-driven dictionary learning for hyperspectral image classification with structured sparsity constraints
-
[30] Sun, X., Nasrabadi, N.M., Tran, T.D., Task-driven dictionary learning for hyperspectral image classification with structured sparsity constraints. IEEE Trans. Geosci. Remote Sens. 53:8 (2015), 4457–4471.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.8
, pp. 4457-4471
-
-
Sun, X.1
Nasrabadi, N.M.2
Tran, T.D.3
-
31
-
-
0032131292
-
Atomic decomposition by basis pursuit
-
[31] Chen, S.S., Donoho, D.L., Saunders, M.A., Atomic decomposition by basis pursuit. SIAM J. Sci. Comput. 20:1 (1998), 33–61.
-
(1998)
SIAM J. Sci. Comput.
, vol.20
, Issue.1
, pp. 33-61
-
-
Chen, S.S.1
Donoho, D.L.2
Saunders, M.A.3
-
32
-
-
80052903155
-
The incrowd algorithm for fast basis pursuit denoising
-
[32] Gill, P.R., Wang, A., Molnar, A., The incrowd algorithm for fast basis pursuit denoising. IEEE Trans. Signal Process. 59:10 (2011), 4595–4605.
-
(2011)
IEEE Trans. Signal Process.
, vol.59
, Issue.10
, pp. 4595-4605
-
-
Gill, P.R.1
Wang, A.2
Molnar, A.3
-
33
-
-
64649083745
-
Signal recovery from random measurements via orthogonal matching pursuit
-
[33] Tropp, J., Gilbert, A., Signal recovery from random measurements via orthogonal matching pursuit. IEEE Trans. Inf. Theory 53:12 (2007), 4655–4666.
-
(2007)
IEEE Trans. Inf. Theory
, vol.53
, Issue.12
, pp. 4655-4666
-
-
Tropp, J.1
Gilbert, A.2
-
34
-
-
65749110333
-
Subspace pursuit for compressive sensing signal reconstruction
-
[34] Dai, W., Milenkovic, O., Subspace pursuit for compressive sensing signal reconstruction. IEEE Trans. Inf. Theory 55:5 (2009), 2230–2249.
-
(2009)
IEEE Trans. Inf. Theory
, vol.55
, Issue.5
, pp. 2230-2249
-
-
Dai, W.1
Milenkovic, O.2
-
35
-
-
84863011302
-
Sparse representation or collaborative representation: which helps face recognition?
-
Barcelona, Spain
-
[35] Zhang, L., Yang, M., Feng, X., Sparse representation or collaborative representation: which helps face recognition?. Proceedings of the International Conference on Computer Vision, 2011, 471–478 Barcelona, Spain.
-
(2011)
Proceedings of the International Conference on Computer Vision
, pp. 471-478
-
-
Zhang, L.1
Yang, M.2
Feng, X.3
-
38
-
-
84923334195
-
Hyperspectral imagery classification using local collaborative representation
-
[38] Chen, J., Jiao, L., Hyperspectral imagery classification using local collaborative representation. Int. J. Remote Sens. 36:3 (2015), 734–748.
-
(2015)
Int. J. Remote Sens.
, vol.36
, Issue.3
, pp. 734-748
-
-
Chen, J.1
Jiao, L.2
-
39
-
-
85032751896
-
Hyperspectral image data analysis
-
[39] Landgrebe, D.A., Hyperspectral image data analysis. IEEE Signal Process. Mag. 19:1 (2002), 17–28.
-
(2002)
IEEE Signal Process. Mag.
, vol.19
, Issue.1
, pp. 17-28
-
-
Landgrebe, D.A.1
-
40
-
-
85032752318
-
Hyperspectral target detection: an overview of current and future challenges
-
[40] Nasrabadi, N.M., Hyperspectral target detection: an overview of current and future challenges. IEEE Signal Process. Mag. 31:1 (2014), 34–44.
-
(2014)
IEEE Signal Process. Mag.
, vol.31
, Issue.1
, pp. 34-44
-
-
Nasrabadi, N.M.1
-
41
-
-
84899785506
-
Gabor-filtering based nearest regularized subspace for hyperspectral image classification
-
[41] Li, W., Du, Q., Gabor-filtering based nearest regularized subspace for hyperspectral image classification. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 7:4 (2014), 1012–1022.
-
(2014)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.7
, Issue.4
, pp. 1012-1022
-
-
Li, W.1
Du, Q.2
-
42
-
-
84921027673
-
Class-depdendent sparse representation classifier for robust hyperspectral image classification
-
[42] Cui, M., Prasad, S., Class-depdendent sparse representation classifier for robust hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 53:5 (2015), 2683–2695.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.5
, pp. 2683-2695
-
-
Cui, M.1
Prasad, S.2
-
43
-
-
81855227210
-
Nonlinear nearest subspace classifier
-
Shanghai, China
-
[43] Zhang, L., Zhou, W., Liu, B., Nonlinear nearest subspace classifier. Proceedings of the 18th Internation Conference on Neural Information Processing, 2011, 638–645 Shanghai, China.
-
(2011)
Proceedings of the 18th Internation Conference on Neural Information Processing
, pp. 638-645
-
-
Zhang, L.1
Zhou, W.2
Liu, B.3
-
44
-
-
61749090884
-
Distance metric learning for large margin nearest neighbor classification
-
[44] Weinberger, K.Q., Saul, L.K., Distance metric learning for large margin nearest neighbor classification. J. Mach. Learn. Res. 10 (2009), 207–244.
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 207-244
-
-
Weinberger, K.Q.1
Saul, L.K.2
-
45
-
-
84891331652
-
Face recognition via weighted sparse representation
-
[45] Lu, C., Min, H., Gui, J., Zhu, L., Lei, Y., Face recognition via weighted sparse representation. J. Vis. Commun. Image Represent. 24 (2013), 111–116.
-
(2013)
J. Vis. Commun. Image Represent.
, vol.24
, pp. 111-116
-
-
Lu, C.1
Min, H.2
Gui, J.3
Zhu, L.4
Lei, Y.5
-
47
-
-
84890436374
-
Nearest regularized subspace for hyperspectral classification
-
[47] Li, W., Tramel, E.W., Prasad, S., Fowler, J.E., Nearest regularized subspace for hyperspectral classification. IEEE Trans. Geosci. Remote Sens. 52:1 (2014), 477–489.
-
(2014)
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
-
48
-
-
84905919348
-
Hyperspectral image classification based on regularized sparse representation
-
[48] Yuan, H., Yang, Y., Lu, Y., Yang, L., Lou, H., Hyperspectral image classification based on regularized sparse representation. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 7:6 (2015), 2174–2182.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.7
, Issue.6
, pp. 2174-2182
-
-
Yuan, H.1
Yang, Y.2
Lu, Y.3
Yang, L.4
Lou, H.5
-
50
-
-
80053571096
-
Hyperspectral image classification using dictionary-based sparse representation
-
[50] Chen, Y., Nasrabadi, N.M., Tran, T.D., Hyperspectral image classification using dictionary-based sparse representation. IEEE Trans. Geosci. Remote Sens. 49:10 (2011), 3973–3985.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.10
, pp. 3973-3985
-
-
Chen, Y.1
Nasrabadi, N.M.2
Tran, T.D.3
-
51
-
-
84905922440
-
Joint within-class collaborative representation for hyperspectral image classification
-
[51] Li, W., Du, Q., Joint within-class collaborative representation for hyperspectral image classification. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 7:6 (2014), 2200–2208.
-
(2014)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.7
, Issue.6
, pp. 2200-2208
-
-
Li, W.1
Du, Q.2
-
52
-
-
84856516193
-
Sparse neighbor representation for classification
-
[52] Hui, K., Li, C., Zhang, L., Sparse neighbor representation for classification. Pattern Recogn. Lett. 33 (2012), 661–669.
-
(2012)
Pattern Recogn. Lett.
, vol.33
, pp. 661-669
-
-
Hui, K.1
Li, C.2
Zhang, L.3
-
53
-
-
84896401103
-
Hyperspectral image classification by nonlocal joint collaborative representation with a locally adaptive dictionary
-
[53] Li, J., Zhang, H., Huang, Y., Zhang, L., Hyperspectral image classification by nonlocal joint collaborative representation with a locally adaptive dictionary. IEEE Trans. Geosci. Remote Sens. 52:6 (2014), 3707–3719.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.6
, pp. 3707-3719
-
-
Li, J.1
Zhang, H.2
Huang, Y.3
Zhang, L.4
-
54
-
-
84905922593
-
A nonlocal weighted joint sparse representation classification method for hyperspectral imagery
-
[54] Zhang, H., Li, J., Huang, Y., Zhang, L., A nonlocal weighted joint sparse representation classification method for hyperspectral imagery. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 7:6 (2014), 2056–2065.
-
(2014)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.7
, Issue.6
, pp. 2056-2065
-
-
Zhang, H.1
Li, J.2
Huang, Y.3
Zhang, L.4
-
55
-
-
85027946971
-
Hyperspectral image classifcation using weighted joint collaborative representation
-
[55] Xiong, M., Ran, Q., Li, W., Zou, J., Du, Q., Hyperspectral image classifcation using weighted joint collaborative representation. IEEE Geosci. Remote Sens. Lett. 12:1 (2015), 48–52.
-
(2015)
IEEE Geosci. Remote Sens. Lett.
, vol.12
, Issue.1
, pp. 48-52
-
-
Xiong, M.1
Ran, Q.2
Li, W.3
Zou, J.4
Du, Q.5
-
56
-
-
84906936061
-
Weighted group sparse representation for undersampled face recognition
-
[56] Tang, X., Feng, G., Cai, J., Weighted group sparse representation for undersampled face recognition. Neurocomputing 145 (2014), 402–415.
-
(2014)
Neurocomputing
, vol.145
, pp. 402-415
-
-
Tang, X.1
Feng, G.2
Cai, J.3
-
57
-
-
84922727148
-
Weighted sparse representation for face recognition
-
[57] Fan, Z., Ni, M., Zhu, Q., Liu, E., Weighted sparse representation for face recognition. Neurocomputing 151 (2015), 304–309.
-
(2015)
Neurocomputing
, vol.151
, pp. 304-309
-
-
Fan, Z.1
Ni, M.2
Zhu, Q.3
Liu, E.4
-
58
-
-
84899411681
-
Adaptive and weighted collaborative representations for image classification
-
[58] Timofte, R., Gool, L.V., Adaptive and weighted collaborative representations for image classification. Pattern Recogn. Lett. 43 (2014), 127–135.
-
(2014)
Pattern Recogn. Lett.
, vol.43
, pp. 127-135
-
-
Timofte, R.1
Gool, L.V.2
-
59
-
-
84900809610
-
Learning locality-constrained collaborative representation for robust face recognition
-
[59] Peng, X., Zhang, L., Yi, Z., Tan, K.K., Learning locality-constrained collaborative representation for robust face recognition. Pattern Recogn. 47:9 (2014), 2794–2806.
-
(2014)
Pattern Recogn.
, vol.47
, Issue.9
, pp. 2794-2806
-
-
Peng, X.1
Zhang, L.2
Yi, Z.3
Tan, K.K.4
-
60
-
-
84905739302
-
Classification of hyperspectral urban data using adaptive simultaneous orthogonal matching pursuit
-
[60] Zou, J., Li, W., Huang, X., Du, Q., Classification of hyperspectral urban data using adaptive simultaneous orthogonal matching pursuit. J. Appl. Remote Sens., 8, 2014, 085099.
-
(2014)
J. Appl. Remote Sens.
, vol.8
, pp. 085099
-
-
Zou, J.1
Li, W.2
Huang, X.3
Du, Q.4
-
61
-
-
84896391507
-
Spatial-spectral classification of hyperspectral images using discriminative dictionary designed by learning vector quantization
-
[61] Wang, Z., Nasrabadi, N.M., Huang, T.S., Spatial-spectral classification of hyperspectral images using discriminative dictionary designed by learning vector quantization. IEEE Trans. Geosci. Remote Sens. 52:8 (2014), 4808–4822.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.8
, pp. 4808-4822
-
-
Wang, Z.1
Nasrabadi, N.M.2
Huang, T.S.3
-
62
-
-
84903278535
-
Spectral-spatial hyperspectral image classification via multiscale adaptive sparse representation
-
[62] Fang, L., Li, S., Kang, X., Benediktsson, J.A., Spectral-spatial hyperspectral image classification via multiscale adaptive sparse representation. IEEE Trans. Geosci. Remote Sens. 52:12 (2014), 7738–7749.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.12
, pp. 7738-7749
-
-
Fang, L.1
Li, S.2
Kang, X.3
Benediktsson, J.A.4
-
63
-
-
84903270810
-
Manifold-based sparse representation for hyperspectral image classification
-
[63] Yang, Y., Yuan, H., Li, L., Manifold-based sparse representation for hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 52:12 (2014), 7606–7618.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.12
, pp. 7606-7618
-
-
Yang, Y.1
Yuan, H.2
Li, L.3
-
64
-
-
84897025270
-
Structured priors for sparse-representation-based hyperspectral image classification
-
[64] Sun, X., Qu, Q., Nasrabadi, N.M., Tran, T.D., Structured priors for sparse-representation-based hyperspectral image classification. IEEE Geosci. Remote Sens. Lett. 11:7 (2014), 1235–1239.
-
(2014)
IEEE Geosci. Remote Sens. Lett.
, vol.11
, Issue.7
, pp. 1235-1239
-
-
Sun, X.1
Qu, Q.2
Nasrabadi, N.M.3
Tran, T.D.4
-
65
-
-
85027936970
-
Hyperspectral image classification by spatial-spectral derivative-aided kernel joint sparse representation
-
[65] Wang, J., Jiao, L., Liu, H., Yang, S., Liu, F., Hyperspectral image classification by spatial-spectral derivative-aided kernel joint sparse representation. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 8:6 (2015), 2485–2500.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.8
, Issue.6
, pp. 2485-2500
-
-
Wang, J.1
Jiao, L.2
Liu, H.3
Yang, S.4
Liu, F.5
-
66
-
-
84896329631
-
Remotely sensed image classification using sparse representations of morphological attribute profiles
-
[66] Song, B., Li, J., Mura, M.D., Li, P., Plaza, A., J.M.B.-D.J.A. Benediktsson, Chanussot, J., Remotely sensed image classification using sparse representations of morphological attribute profiles. IEEE Trans. Geosci. Remote Sens. 52:8 (2014), 5122–5136.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.8
, pp. 5122-5136
-
-
Song, B.1
Li, J.2
Mura, M.D.3
Li, P.4
Plaza, A.5
Benediktsson, J.M.B.-D.J.A.6
Chanussot, J.7
-
67
-
-
84875260563
-
Gabor feature based robust representation and classification for face recognition with Gabor occlusion dictionary
-
[67] Yang, M., Zhang, L., Shiu, S., Zhang, D., Gabor feature based robust representation and classification for face recognition with Gabor occlusion dictionary. Pattern Recogn. 46:7 (2013), 1868–1878.
-
(2013)
Pattern Recogn.
, vol.46
, Issue.7
, pp. 1868-1878
-
-
Yang, M.1
Zhang, L.2
Shiu, S.3
Zhang, D.4
-
68
-
-
84890553993
-
Bayesian classification of hyperspectral imagery based on probabilistic sparse representation and Markov random field
-
[68] Xu, L., Li, J., Bayesian classification of hyperspectral imagery based on probabilistic sparse representation and Markov random field. IEEE Geosci. Remote Sens. Lett. 11:4 (2014), 823–827.
-
(2014)
IEEE Geosci. Remote Sens. Lett.
, vol.11
, Issue.4
, pp. 823-827
-
-
Xu, L.1
Li, J.2
-
69
-
-
84905748538
-
Representation-based classifications with Markov random field model for hyperspectral urban data
-
[69] Xiong, M., Zhang, F., Ran, Q., Hu, W., Li, W., Representation-based classifications with Markov random field model for hyperspectral urban data. J. Appl. Remote Sens., 8, 2014, 085097.
-
(2014)
J. Appl. Remote Sens.
, vol.8
, pp. 085097
-
-
Xiong, M.1
Zhang, F.2
Ran, Q.3
Hu, W.4
Li, W.5
-
70
-
-
84897904538
-
Hyperspectral image classification using kernel sparse representation and semilocal spatial Graph regularization
-
[70] Liu, J., Wu, Z., Wei, Z., Xiao, L., Hyperspectral image classification using kernel sparse representation and semilocal spatial Graph regularization. IEEE Geosci. Remote Sens. Lett. 11:8 (2014), 1320–1324.
-
(2014)
IEEE Geosci. Remote Sens. Lett.
, vol.11
, Issue.8
, pp. 1320-1324
-
-
Liu, J.1
Wu, Z.2
Wei, Z.3
Xiao, L.4
-
71
-
-
0034333640
-
Designing Gabor filters for optimal texture separability
-
[71] Clausi, D.A., Jernigan, M.E., Designing Gabor filters for optimal texture separability. Pattern Recogn. 33:11 (2000), 1835–1849.
-
(2000)
Pattern Recogn.
, vol.33
, Issue.11
, pp. 1835-1849
-
-
Clausi, D.A.1
Jernigan, M.E.2
-
72
-
-
55649124564
-
Similarity-based unsupervised band selection for hyperspectral image analysis
-
[72] Du, Q., Yang, H., Similarity-based unsupervised band selection for hyperspectral image analysis. IEEE Geosci. Remote Sens. Lett. 5:4 (2008), 564–568.
-
(2008)
IEEE Geosci. Remote Sens. Lett.
, vol.5
, Issue.4
, pp. 564-568
-
-
Du, Q.1
Yang, H.2
-
73
-
-
84906326351
-
Gabor feature-based collaborative representation for hyperspectral imagery classification
-
[73] Jia, S., Shen, L., Li, Q., Gabor feature-based collaborative representation for hyperspectral imagery classification. IEEE Trans. Geosci. Remote Sens. 53:2 (2015), 1118–1129.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.2
, pp. 1118-1129
-
-
Jia, S.1
Shen, L.2
Li, Q.3
-
74
-
-
84921061644
-
Spectral-spatial classification of hyperspectral images via spatial translation-invariant wavelet-based sparse representation
-
[74] He, L., Li, Y., Li, X., Hu, W., Spectral-spatial classification of hyperspectral images via spatial translation-invariant wavelet-based sparse representation. IEEE Trans. Geosci. Remote Sens. 53:5 (2015), 2696–2712.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.5
, pp. 2696-2712
-
-
He, L.1
Li, Y.2
Li, X.3
Hu, W.4
-
75
-
-
84906784880
-
Spectral-spatial classification of hyperspectral data via morphological component analysis-based image separation
-
[75] Xue, Z., Li, J., Cheng, L., Du, P., Spectral-spatial classification of hyperspectral data via morphological component analysis-based image separation. IEEE Trans. Geosci. Remote Sens. 53:1 (2015), 70–84.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.1
, pp. 70-84
-
-
Xue, Z.1
Li, J.2
Cheng, L.3
Du, P.4
-
76
-
-
0029394295
-
Markov random field models for unsupervised sgementation of textured color images
-
[76] Panjwani, D.K., Healey, G., Markov random field models for unsupervised sgementation of textured color images. IEEE Trans. Pattern Anal. Mach. Intell. 17:10 (1995), 939–954.
-
(1995)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.17
, Issue.10
, pp. 939-954
-
-
Panjwani, D.K.1
Healey, G.2
-
77
-
-
80052740627
-
A spatial-spectral kernel-based approach for the classification of remote-sensing images
-
[77] Fauvel, M., Chanussot, J., Benediktsson, J.A., A spatial-spectral kernel-based approach for the classification of remote-sensing images. Pattern Recogn. 45:1 (2012), 381–392.
-
(2012)
Pattern Recogn.
, vol.45
, Issue.1
, pp. 381-392
-
-
Fauvel, M.1
Chanussot, J.2
Benediktsson, J.A.3
-
78
-
-
84871731919
-
Hyperspectral image classification via kernel sparse representation
-
[78] Chen, Y., Nasrabadi, N.M., Tran, T.D., Hyperspectral image classification via kernel sparse representation. IEEE Trans. Geosci. Remote Sens. 51:1 (2013), 217–231.
-
(2013)
IEEE Trans. Geosci. Remote Sens.
, vol.51
, Issue.1
, pp. 217-231
-
-
Chen, Y.1
Nasrabadi, N.M.2
Tran, T.D.3
-
79
-
-
84890123096
-
Spatial-spectral kernel sparse representation for hyperspectral image classification
-
[79] Liu, J., Wu, Z., Wei, Z., Xiao, L., Sun, L., Spatial-spectral kernel sparse representation for hyperspectral image classification. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 6:6 (2013), 2462–2471.
-
(2013)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.6
, Issue.6
, pp. 2462-2471
-
-
Liu, J.1
Wu, Z.2
Wei, Z.3
Xiao, L.4
Sun, L.5
-
80
-
-
84942374193
-
Using of customizing kernel sparse representation for hyperspectral image classification
-
[80] Qi, B., Zhao, C., Yin, G., Using of customizing kernel sparse representation for hyperspectral image classification. Appl. Opt. 54:4 (2015), 707–716.
-
(2015)
Appl. Opt.
, vol.54
, Issue.4
, pp. 707-716
-
-
Qi, B.1
Zhao, C.2
Yin, G.3
-
81
-
-
84894533548
-
Kernel sparse representation with pixel-level and region-level local feature kernels for face recognition
-
[81] Kang, C., Liao, S., Xiang, S., Pan, C., Kernel sparse representation with pixel-level and region-level local feature kernels for face recognition. Neurocomputing 133 (2014), 141–152.
-
(2014)
Neurocomputing
, vol.133
, pp. 141-152
-
-
Kang, C.1
Liao, S.2
Xiang, S.3
Pan, C.4
-
82
-
-
84906784183
-
Kernel collaborative representation with tikhonov regularization for hyperspectral image classification
-
[82] Li, W., Du, Q., Xiong, M., Kernel collaborative representation with tikhonov regularization for hyperspectral image classification. IEEE Geosci. Remote Sens. Lett. 12:1 (2015), 48–52.
-
(2015)
IEEE Geosci. Remote Sens. Lett.
, vol.12
, Issue.1
, pp. 48-52
-
-
Li, W.1
Du, Q.2
Xiong, M.3
-
83
-
-
84899940250
-
Column-generation kernel nonlocal joint collaborative representation for hyperspectral image classification
-
[83] Li, J., Zhang, H., Zhang, L., Column-generation kernel nonlocal joint collaborative representation for hyperspectral image classification. ISPRS J. Photogram. Remote Sens. 94 (2014), 25–36.
-
(2014)
ISPRS J. Photogram. Remote Sens.
, vol.94
, pp. 25-36
-
-
Li, J.1
Zhang, H.2
Zhang, L.3
-
84
-
-
84931566105
-
Kernel collaborative face recognition
-
[84] Wang, D., Lu, H., Yang, M.H., Kernel collaborative face recognition. Pattern Recogn. 48:10 (2015), 3025–3037.
-
(2015)
Pattern Recogn.
, vol.48
, Issue.10
, pp. 3025-3037
-
-
Wang, D.1
Lu, H.2
Yang, M.H.3
-
85
-
-
84890518166
-
Kernel collaborative representation-based classifier for face recognition
-
Vancouver, Canada
-
[85] Wang, B., Li, W., Poh, N., Liao, Q., Kernel collaborative representation-based classifier for face recognition. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, 2013, 2877–2881 Vancouver, Canada.
-
(2013)
Proceedings of the International Conference on Acoustics, Speech, and Signal Processing
, pp. 2877-2881
-
-
Wang, B.1
Li, W.2
Poh, N.3
Liao, Q.4
-
86
-
-
80955131778
-
Kernel sparse representation based classification
-
[86] Yin, J., Liu, Z., Jin, Z., Yang, W., Kernel sparse representation based classification. Neurocomputing 77:1 (2012), 120–128.
-
(2012)
Neurocomputing
, vol.77
, Issue.1
, pp. 120-128
-
-
Yin, J.1
Liu, Z.2
Jin, Z.3
Yang, W.4
-
87
-
-
84863359440
-
Kernel sparse representation-based classifier
-
[87] Zhang, L., Zhou, W., Chang, P., Liu, J., Yan, Z., Wang, T., Li, F., Kernel sparse representation-based classifier. IEEE Trans. Signal Process. 60:4 (2012), 1684–1695.
-
(2012)
IEEE Trans. Signal Process.
, vol.60
, Issue.4
, pp. 1684-1695
-
-
Zhang, L.1
Zhou, W.2
Chang, P.3
Liu, J.4
Yan, Z.5
Wang, T.6
Li, F.7
-
88
-
-
84882742605
-
Class-discriminative kernel sparse representation-based classification using multi-objective optimization
-
[88] Jian, M., Jung, C., Class-discriminative kernel sparse representation-based classification using multi-objective optimization. IEEE Trans. Signal Process. 61:18 (2013), 4416–4427.
-
(2013)
IEEE Trans. Signal Process.
, vol.61
, Issue.18
, pp. 4416-4427
-
-
Jian, M.1
Jung, C.2
-
89
-
-
84873807798
-
Non-parametric Fisher's discriminant analysis with kernels for data classification
-
[89] Diaf, A., Boufama, B., Benlamri, R., Non-parametric Fisher's discriminant analysis with kernels for data classification. Pattern Recogn. Lett. 34 (2013), 552–558.
-
(2013)
Pattern Recogn. Lett.
, vol.34
, pp. 552-558
-
-
Diaf, A.1
Boufama, B.2
Benlamri, R.3
-
90
-
-
79957470922
-
Sparse representation for target detection in hyperspectral imagery
-
[90] Chen, Y., Nasrabadi, N.M., Tran, T.D., Sparse representation for target detection in hyperspectral imagery. IEEE J. Select. Top. Signal Process. 5:3 (2011), 629–640.
-
(2011)
IEEE J. Select. Top. Signal Process.
, vol.5
, Issue.3
, pp. 629-640
-
-
Chen, Y.1
Nasrabadi, N.M.2
Tran, T.D.3
-
91
-
-
84875239530
-
Abnormal event detection in crowded scenes using sparse representation
-
[91] Cong, Y., Yuan, J., Liu, J., Abnormal event detection in crowded scenes using sparse representation. Pattern Recogn. 46:7 (2013), 1851–1864.
-
(2013)
Pattern Recogn.
, vol.46
, Issue.7
, pp. 1851-1864
-
-
Cong, Y.1
Yuan, J.2
Liu, J.3
-
92
-
-
79959708449
-
Simulanetous joint sparsity model for target detection in hyperspectral imagery
-
[92] Chen, Y., Nasrabadi, N.M., Tran, T.D., Simulanetous joint sparsity model for target detection in hyperspectral imagery. IEEE Geosci. Remote Sens. Lett. 8:4 (2011), 676–680.
-
(2011)
IEEE Geosci. Remote Sens. Lett.
, vol.8
, Issue.4
, pp. 676-680
-
-
Chen, Y.1
Nasrabadi, N.M.2
Tran, T.D.3
-
93
-
-
84941419455
-
Combined sparse and collaborative representation for hyperspectral target detection
-
[93] Li, W., Du, Q., Zhang, B., Combined sparse and collaborative representation for hyperspectral target detection. Pattern Recogn. 48 (2015), 3904–3916.
-
(2015)
Pattern Recogn.
, vol.48
, pp. 3904-3916
-
-
Li, W.1
Du, Q.2
Zhang, B.3
-
94
-
-
85027919151
-
A nonlinear sparse representation-based binary hypothesis model for hyperspectral target detection
-
[94] Zhang, H., Zhang, L., Du, B., Wang, S., A nonlinear sparse representation-based binary hypothesis model for hyperspectral target detection. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 8:6 (2015), 2513–2522.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.8
, Issue.6
, pp. 2513-2522
-
-
Zhang, H.1
Zhang, L.2
Du, B.3
Wang, S.4
-
95
-
-
84886597418
-
Nonlocal similarity regularized sparsity model for hyperspectral target detection
-
[95] Huang, Z., Shi, Z., Yang, S., Nonlocal similarity regularized sparsity model for hyperspectral target detection. IEEE Geosci. Remote Sens. Lett. 10:6 (2013), 1532–1536.
-
(2013)
IEEE Geosci. Remote Sens. Lett.
, vol.10
, Issue.6
, pp. 1532-1536
-
-
Huang, Z.1
Shi, Z.2
Yang, S.3
-
96
-
-
84907464023
-
A sparse representation-based binary hypothesis model for target detection in hyperspectral images
-
[96] Zhang, Y., Du, B., Zhang, L., A sparse representation-based binary hypothesis model for target detection in hyperspectral images. IEEE Trans. Geosci. Remote Sens. 53:3 (2015), 1346–1354.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.3
, pp. 1346-1354
-
-
Zhang, Y.1
Du, B.2
Zhang, L.3
-
97
-
-
85027928103
-
Hyperspectral anomaly detection by the use of background joint sparse representation
-
[97] Li, J., Zhang, H., Zhang, L., Ma, L., Hyperspectral anomaly detection by the use of background joint sparse representation. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 8:6 (2015), 2523–2533.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.
, vol.8
, Issue.6
, pp. 2523-2533
-
-
Li, J.1
Zhang, H.2
Zhang, L.3
Ma, L.4
-
98
-
-
85027928694
-
Hyperspectral spectral target detection using learned dictionary
-
[98] Liu, Y., Wang, B., Hyperspectral spectral target detection using learned dictionary. IEEE Geosci. Remote Sens. Lett. 12:7 (2015), 1531–1535.
-
(2015)
IEEE Geosci. Remote Sens. Lett.
, vol.12
, Issue.7
, pp. 1531-1535
-
-
Liu, Y.1
Wang, B.2
-
99
-
-
84920748977
-
Target detection using sparse representation with element and construction combination feature
-
[99] Liu, H., Li, S., Target detection using sparse representation with element and construction combination feature. IEEE Trans. Instrum. Meas. 64:2 (2015), 290–298.
-
(2015)
IEEE Trans. Instrum. Meas.
, vol.64
, Issue.2
, pp. 290-298
-
-
Liu, H.1
Li, S.2
-
100
-
-
84907455189
-
Collaborative representation for hyperspectral anomaly detection
-
[100] Li, W., Du, Q., Collaborative representation for hyperspectral anomaly detection. IEEE Trans. Geosci. Remote Sens. 53:3 (2015), 1463–1474.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.3
, pp. 1463-1474
-
-
Li, W.1
Du, Q.2
-
101
-
-
85039159008
-
Representation-based classification for hyperspectral imagery: an Elastic Net regularization approach
-
Tokyo, Japan
-
[101] Li, W., Chang, L., Du, Q., Representation-based classification for hyperspectral imagery: an Elastic Net regularization approach. Proceedings of the Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015, Tokyo, Japan.
-
(2015)
Proceedings of the Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
-
-
Li, W.1
Chang, L.2
Du, Q.3
-
102
-
-
84962601646
-
To be or not to be convex? A study on regularization in hyperspectral image classification
-
Milan, Italy
-
[102] Tuia, D., Flamary, R., Barlaud, M., To be or not to be convex? A study on regularization in hyperspectral image classification. Proceedings of the International Geoscience and Remote Sensing Symposium, 2015, Milan, Italy.
-
(2015)
Proceedings of the International Geoscience and Remote Sensing Symposium
-
-
Tuia, D.1
Flamary, R.2
Barlaud, M.3
|