-
1
-
-
85032751896
-
Hyperspectral image data analysis
-
DOI 10.1109/79.974718
-
D. Landgrebe, "Hyperspectral image data analysis," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 17-28, Jan. 2002. (Pubitemid 34237205)
-
(2002)
IEEE Signal Processing Magazine
, vol.19
, Issue.1
, pp. 17-28
-
-
Landgrebe, D.1
-
2
-
-
41849112041
-
Customizing Kernel functions for SVM-based hyperspectral image classification
-
DOI 10.1109/TIP.2008.918955
-
B. Guo, S. Gunn, R. Damper, and J. Nelson, "Customizing kernel functions for SVM-based hyperspectral image classification," IEEE Trans. Image Process., vol. 17, no. 4, pp. 622-629, Apr. 2008. (Pubitemid 351493884)
-
(2008)
IEEE Transactions on Image Processing
, vol.17
, Issue.4
, pp. 622-629
-
-
Guo, B.1
Gunn, S.R.2
Damper, R.I.3
Nelson, J.D.B.4
-
3
-
-
80053417666
-
Unsupervised remote sensing image classification using an artificial dna computing
-
Jul.
-
H. Jiao, Y. Zhong, L. Zhang, and P. Li, "Unsupervised remote sensing image classification using an artificial dna computing," in Proc. Int. Conf. Comput., Netw. Commun., vol. 3. Jul. 2011, pp. 1341-1345.
-
(2011)
Proc. Int. Conf. Comput., Netw. Commun.
, vol.3
, pp. 1341-1345
-
-
Jiao, H.1
Zhong, Y.2
Zhang, L.3
Li, P.4
-
4
-
-
77952616442
-
Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery
-
Jun.
-
O. Eches, N. Dobigeon, C. Mailhes, and J. Tourneret, "Bayesian estimation of linear mixtures using the normal compositional model. application to hyperspectral imagery," IEEE Trans. Image Process., vol. 19, no. 6, pp. 1403-1413, Jun. 2010.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.6
, pp. 1403-1413
-
-
Eches, O.1
Dobigeon, N.2
Mailhes, C.3
Tourneret, J.4
-
5
-
-
84865459182
-
Remotely sensed image retrieval based on region-level semantic mining
-
Jan.
-
T. Liu, L. Zhang, P. Li, and H. Lin, "Remotely sensed image retrieval based on region-level semantic mining," EURASIP J. Image Video Process., no. 1, pp. 1-11, Jan. 2012.
-
(2012)
EURASIP J. Image Video Process.
, Issue.1
, pp. 1-11
-
-
Liu, T.1
Zhang, L.2
Li, P.3
Lin, H.4
-
6
-
-
79952027705
-
A multifeature tensor for remote-sensing target recognition
-
Mar.
-
L. Zhang, L. Zhang, D. Tao, and X. Huang, "A multifeature tensor for remote-sensing target recognition," IEEE Geosci. Remote Sens. Lett, vol. 8, no. 2, pp. 374-378, Mar. 2011.
-
(2011)
IEEE Geosci. Remote Sens. Lett
, vol.8
, Issue.2
, pp. 374-378
-
-
Zhang, L.1
Zhang, L.2
Tao, D.3
Huang, X.4
-
7
-
-
84861338885
-
A fast and robust sparse approach for hyperspectral data classification using a few labeled samples
-
Jun.
-
Q. S ami ul Haq, L. Tao, F. Sun, and S. Yang, "A fast and robust sparse approach for hyperspectral data classification using a few labeled samples," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 6, pp. 2287-2302, Jun. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, Issue.6
, pp. 2287-2302
-
-
Ami Ul Haq, Q.S.1
Tao, L.2
Sun, F.3
Yang, S.4
-
8
-
-
55649103940
-
Unsupervised classification of hyperspectral-image data using fuzzy approaches that spatially exploit membership relations
-
Oct.
-
G. Bilgin, S. Erturk, and T. Yildirim, "Unsupervised classification of hyperspectral-image data using fuzzy approaches that spatially exploit membership relations," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 4, pp. 673-677, Oct. 2008.
-
(2008)
IEEE Geosci. Remote Sens. Lett.
, vol.5
, Issue.4
, pp. 673-677
-
-
Bilgin, G.1
Erturk, S.2
Yildirim, T.3
-
9
-
-
47849095828
-
Semi-supervised image classification with Laplacian support vector machines
-
Jul.
-
G. Chova, G. Camps-Valls, J. Munoz-Mari, and J. Calpe, "Semi-supervised image classification with Laplacian support vector machines," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 3, pp. 336-340, Jul. 2008.
-
(2008)
IEEE Geosci. Remote Sens. Lett.
, vol.5
, Issue.3
, pp. 336-340
-
-
Chova, G.1
Camps-Valls, G.2
Munoz-Mari, J.3
Calpe, J.4
-
10
-
-
80052087210
-
On combining multiple features for hyperspectral remote sensing image classification
-
Mar.
-
L. Zhang, L. Zhang, D. Tao, and X. Huang, "On combining multiple features for hyperspectral remote sensing image classification," IEEE Trans. Geosci. Remote Sens. vol. 50 no. 3 pp. 879-893 Mar. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, Issue.3
, pp. 879-893
-
-
Zhang, L.1
Zhang, L.2
Tao, D.3
Huang, X.4
-
11
-
-
33750819329
-
A novel transductive SVM for semisupervised classification of remote sensing images
-
Nov.
-
L. Bruzzone, M. Chi, and M. Marconcini, "A novel transductive SVM for semisupervised classification of remote sensing images," IEEE Geosci. Remote Sens. Lett., vol. 44, no. 11, pp. 3363-3373, Nov. 2006.
-
(2006)
IEEE Geosci. Remote Sens. Lett.
, vol.44
, Issue.11
, pp. 3363-3373
-
-
Bruzzone, L.1
Chi, M.2
Marconcini, M.3
-
12
-
-
65049084094
-
Semi-supervised remote sensing image classification with cluster kernels
-
Apr.
-
D. Tuia and G. Camps-Valls, "Semi-supervised remote sensing image classification with cluster kernels," IEEE Geosci. Remote Sens. Lett, vol. 6, no. 2, pp. 224-228, Apr. 2009.
-
(2009)
IEEE Geosci. Remote Sens. Lett
, vol.6
, Issue.2
, pp. 224-228
-
-
Tuia, D.1
Camps-Valls, G.2
-
13
-
-
0042826822
-
Independent component analysis: Algorithms and applications
-
Jun.
-
A. Hyvrine and E. Oja, "Independent component analysis: Algorithms and applications," Neural Netw., vol. 13, nos. 4-5, pp. 411-430, Jun. 2001.
-
(2001)
Neural Netw.
, vol.13
, Issue.4-5
, pp. 411-430
-
-
Hyvrine, A.1
Oja, E.2
-
14
-
-
45949123735
-
Principal component analysis
-
S. Wold, K. Esbensen, and P. Geladi, "Principal component analysis," Chemometrics Intell. Lab. Syst., vol. 2, nos. 1-3, pp. 37-52, 1987.
-
(1987)
Chemometrics Intell. Lab. Syst.
, vol.2
, Issue.1-3
, pp. 37-52
-
-
Wold, S.1
Esbensen, K.2
Geladi, P.3
-
15
-
-
33744719449
-
Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis
-
DOI 10.1109/TGRS.2005.863297
-
J. Wang and C.-I. Chang, "Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1586-1600, Jun. 2006. (Pubitemid 43824505)
-
(2006)
IEEE Transactions on Geoscience and Remote Sensing
, vol.44
, Issue.6
, pp. 1586-1600
-
-
Wang, J.1
Chang, C.-I.2
-
16
-
-
63149143190
-
Kernel nonparametric weighted feature extraction for hyperspectral image classification
-
Apr.
-
B.-C. Kuo, C.-H. Li, and J.-M. Yang, "Kernel nonparametric weighted feature extraction for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 4, pp. 1139-1155, Apr. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens.
, vol.47
, Issue.4
, pp. 1139-1155
-
-
Kuo, B.-C.1
Li, C.-H.2
Yang, J.-M.3
-
17
-
-
33750590333
-
Band selection for hyperspectral image classification using mutual information
-
DOI 10.1109/LGRS.2006.878240, 1715309
-
B. Guo, S. G. R. Damper, and J. Nelson, "Band selection for hyperspectral image classification using mutual information," IEEE Geosci. Remote Sens. Lett, vol. 3, no. 4, pp. 522-526, Oct. 2006. (Pubitemid 44679664)
-
(2006)
IEEE Geoscience and Remote Sensing Letters
, vol.3
, Issue.4
, pp. 522-526
-
-
Guo, B.1
Gunn, S.R.2
Damper, R.I.3
Nelson, J.D.B.4
-
18
-
-
36348942491
-
Clustering-based hyperspectral band selection using information measures
-
DOI 10.1109/TGRS.2007.904951
-
A. Martinez-Uso, F. Pla, J. M. Sotoca, and P. Garcia-Sevilla, "Clustering-based hyperspectral band selection using information measures," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 12, pp. 4158-4171, Dec. 2007. (Pubitemid 350157848)
-
(2007)
IEEE Transactions on Geoscience and Remote Sensing
, vol.45
, Issue.12
, pp. 4158-4171
-
-
Martinez-Uso, A.1
Pla, F.2
Sotoca, J.M.3
Garcia-Sevilla, P.4
-
19
-
-
77954623833
-
Remote sensing feature selection by kernel dependence measures
-
Jul.
-
G. Camps-Valls, J. Mooij, and B. Scholkopf, "Remote sensing feature selection by kernel dependence measures," IEEE Geosci. Remote Sens. Lett, vol. 7, no. 3, pp. 587-591, Jul. 2010.
-
(2010)
IEEE Geosci. Remote Sens. Lett
, vol.7
, Issue.3
, pp. 587-591
-
-
Camps-Valls, G.1
Mooij, J.2
Scholkopf, B.3
-
20
-
-
0034651854
-
A technique for feature selection in multiclass problems
-
J. Bruzzone and S. Serpico, "A technique for features selection in multiclass problems," Int. J. Remote Sens., vol. 21, no. 3, pp. 549-563, 2000. (Pubitemid 30102558)
-
(2000)
International Journal of Remote Sensing
, vol.21
, Issue.3
, pp. 549-563
-
-
Bruzzone, L.1
Serpico, S.B.2
-
21
-
-
77957001686
-
Learning relevant image features with multiple kernel classification
-
Oct.
-
D. Tuia, G. Camps-Valls, G. Matasci, and M. Kanevski, "Learning relevant image features with multiple kernel classification," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 10, pp. 3780-3791, Oct. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.10
, pp. 3780-3791
-
-
Tuia, D.1
Camps-Valls, G.2
Matasci, G.3
Kanevski, M.4
-
22
-
-
65049090023
-
A composite semisupervised SVM for classification of hyperspectral images
-
Apr.
-
M. Marconcini, G. Camps-Valls, and L. Bruzzone, "A composite semisupervised SVM for classification of hyperspectral images," IEEE Geosci. Remote Sens. Lett, vol. 6, no. 2, pp. 234-238, Apr. 2009.
-
(2009)
IEEE Geosci. Remote Sens. Lett
, vol.6
, Issue.2
, pp. 234-238
-
-
Marconcini, M.1
Camps-Valls, G.2
Bruzzone, L.3
-
23
-
-
35348920168
-
Feature selection and classification of hyperspectral images with support vector machines
-
DOI 10.1109/LGRS.2007.905116
-
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. (Pubitemid 47588053)
-
(2007)
IEEE Geoscience and Remote Sensing Letters
, vol.4
, Issue.4
, pp. 674-677
-
-
Archibald, R.1
Fann, G.2
-
24
-
-
33747441370
-
Adaptive manifold learning
-
J. Wang, Z. Zhang, and H. Zha, "Adaptive manifold learning," in Proc. Adv. Neural Inf. Process. Syst., 2004, pp. 313-338.
-
(2004)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 313-338
-
-
Wang, J.1
Zhang, Z.2
Zha, H.3
-
25
-
-
78049264379
-
Local manifold learning-based -nearest-neighbor for hyperspectral image classification
-
Nov.
-
L. Ma, M. Crawford, and J. Tian, "Local manifold learning-based -nearest-neighbor for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4099-4109, Nov. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.11
, pp. 4099-4109
-
-
Ma, L.1
Crawford, M.2
Tian, J.3
-
26
-
-
84869075910
-
Hyperspetral image classification with hypergraph modeling
-
Y. Wen, Y Gao, S. Liu, Q. Cheng, and R. Ji, "Hyperspetral image classification with hypergraph modeling," in Proc. Int. Conf. Internet Multimedia Comput. Service, 2012, pp. 34-37.
-
Proc. Int. Conf. Internet Multimedia Comput. Service
, vol.2012
, pp. 34-37
-
-
Wen, Y.1
Gao, Y.2
Liu, S.3
Cheng, Q.4
Ji, R.5
-
27
-
-
77953710563
-
Learning conditional random fields for classification of hyperspectral images
-
Jul.
-
P. Zhong and R. Wang, "Learning conditional random fields for classification of hyperspectral images," IEEE Trans. Image Process., vol. 19, no. 7, pp. 1890-1907, Jul. 2010.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.7
, pp. 1890-1907
-
-
Zhong, P.1
Wang, R.2
-
28
-
-
79151483750
-
Modeling and classifying hyperspectral imagery by CRFs with sparse higher order potentials
-
Feb.
-
P. Zhong and R. Wang, "Modeling and classifying hyperspectral imagery by CRFs with sparse higher order potentials," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 2, pp. 688-705, Feb. 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.2
, pp. 688-705
-
-
Zhong, P.1
Wang, R.2
-
29
-
-
77951295198
-
Semi-supervised neural networks for efficient hyperspectral image classification
-
May
-
F Ratle, G. Camps-Valls, and J. Weston, "Semi-supervised neural networks for efficient hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5, pp. 2271-2282, May 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.5
, pp. 2271-2282
-
-
Ratle, F.1
Camps-Valls, G.2
Weston, J.3
-
30
-
-
67651166635
-
A novel context-sensitive semisupervised svm classifier robust to mislabeled training samples
-
Jul.
-
L. Bruzzone and C. Persello, "A novel context-sensitive semisupervised svm classifier robust to mislabeled training samples," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 7, pp. 2142-2154, Jul. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens.
, vol.47
, Issue.7
, pp. 2142-2154
-
-
Bruzzone, L.1
Persello, C.2
-
31
-
-
70350646904
-
Decision fusion for the classification of hyperspectral data: Outcome of the 2008 GRS-S data fusion contest
-
Nov.
-
G. Licciardi, F Pacifici, D. Tuia, S. Prasad, T. West, F. Giacco, J. Inglada, E. Christophe, J. Chanussot, and P. Gamba, "Decision fusion for the classification of hyperspectral data: Outcome of the 2008 GRS-S data fusion contest," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 11, pp. 3857-3865, Nov. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens.
, vol.47
, Issue.11
, pp. 3857-3865
-
-
Licciardi, G.1
Pacifici, F.2
Tuia, D.3
Prasad, S.4
West, T.5
Giacco, F.6
Inglada, J.7
Christophe, E.8
Chanussot, J.9
Gamba, P.10
-
32
-
-
65049083029
-
Improving hyperspectral image classification using spatial preprocessing
-
Apr.
-
S. Velasco-Forero and V. Manian, "Improving hyperspectral image classification using spatial preprocessing," IEEE Geosci. Remote Sens. Lett, vol. 6, no. 2, pp. 297-301, Apr. 2009.
-
(2009)
IEEE Geosci. Remote Sens. Lett
, vol.6
, Issue.2
, pp. 297-301
-
-
Velasco-Forero, S.1
Manian, V.2
-
33
-
-
84892867502
-
Hyperspectral image classification by using the pixel spatial correlation
-
Jan.
-
Y Gao and T.-S. Chua, "Hyperspectral image classification by using the pixel spatial correlation," in Proc. Int. Conf. Multimedia Model, Jan. 2013, pp. 141-151.
-
(2013)
Proc. Int. Conf. Multimedia Model
, pp. 141-151
-
-
Gao, Y.1
Chua, T.-S.2
-
34
-
-
14644412366
-
Classification of hyperspectral data from urban areas based on extended morphological profiles
-
Mar.
-
J. Benediktsson, J. Palmason, and J. Sveinsson, "Classification of hyperspectral data from urban areas based on extended morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 480-490, Mar. 2005.
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, Issue.3
, pp. 480-490
-
-
Benediktsson, J.1
Palmason, J.2
Sveinsson, J.3
-
35
-
-
56849127860
-
Spectral and spatial classification of hyperspectral data using svms and morphological profiles
-
Nov.
-
M. Fauvel, J. Benediktsson, J. Chanussot, and J. Sveinsson, "Spectral and spatial classification of hyperspectral data using svms and morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 11, pp. 3804-3814, Nov. 2008.
-
(2008)
IEEE Trans. Geosci. Remote Sens.
, vol.46
, Issue.11
, pp. 3804-3814
-
-
Fauvel, M.1
Benediktsson, J.2
Chanussot, J.3
Sveinsson, J.4
-
36
-
-
20444432773
-
Kernel-based methods for hyperspectral image classification
-
DOI 10.1109/TGRS.2005.846154
-
G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspec-tral image classification," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1351-1362, Jun. 2005. (Pubitemid 40811944)
-
(2005)
IEEE Transactions on Geoscience and Remote Sensing
, vol.43
, Issue.6
, pp. 1351-1362
-
-
Camps-Valls, G.1
Bruzzone, L.2
-
37
-
-
61349199062
-
Classification of hyper-spectral images with regularized linear discriminant analysis
-
Mar.
-
T. Bandos, L. Bruzzone, and G. Camps-Valls, "Classification of hyper-spectral images with regularized linear discriminant analysis," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 3, pp. 862-873, Mar. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens.
, vol.47
, Issue.3
, pp. 862-873
-
-
Bandos, T.1
Bruzzone, L.2
Camps-Valls, G.3
-
38
-
-
84864027458
-
Learning with hypergraphs: Clustering, classification, and embedding
-
D. Zhou, J. Huang, and B. Schokopf, "Learning with hypergraphs: Clustering, classification, and embedding," in Proc. Adv. Neural Inf. Process. Syst., 2007, pp. 1600-1601.
-
(2007)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 1600-1601
-
-
Zhou, D.1
Huang, J.2
Schokopf, B.3
-
39
-
-
84455201793
-
Tag-based social image search with visual-text joint hypergraph learning
-
Y. Gao, M. Wang, H. Luan, J. Shen, S. Yan, and D. Tao, "Tag-based social image search with visual-text joint hypergraph learning," in Proc. ACM Conf. Multimedia, 2011, pp. 1517-1520.
-
(2011)
Proc. ACM Conf. Multimedia
, pp. 1517-1520
-
-
Gao, Y.1
Wang, M.2
Luan, H.3
Shen, J.4
Yan, S.5
Tao, D.6
-
40
-
-
78650970695
-
Music recommendation by unified hypergraph: Combining social media information and music content
-
J. Bu, S. Tan, C. Chen, C. Wang, H. Wu, L. Zhang, and X. He, "Music recommendation by unified hypergraph: Combining social media information and music content," in Proc. ACM Int. Conf. Multimedia, 2010, pp. 391-400.
-
(2010)
Proc. ACM Int. Conf. Multimedia
, pp. 391-400
-
-
Bu, J.1
Tan, S.2
Chen, C.3
Wang, C.4
Wu, H.5
Zhang, L.6
He, X.7
-
41
-
-
77952244094
-
Learning large scale class specific hyper graphs for object recognition
-
S. Xia and E. Hancock, "Learning large scale class specific hyper graphs for object recognition," in Proc. Int. Conf. Image Graph., 2008, pp. 366-371.
-
(2008)
Proc. Int. Conf. Image Graph.
, pp. 366-371
-
-
Xia, S.1
Hancock, E.2
-
42
-
-
84865433958
-
3D object retrieval and recognition with hypergraph analysis
-
Sep.
-
Y. Gao, M. Wang, D. Tao, R. Ji, and Q. Dai, "3D object retrieval and recognition with hypergraph analysis," IEEE Trans. Image Process., vol. 21, no. 9, pp. 4290-4303, Sep. 2012.
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.9
, pp. 4290-4303
-
-
Gao, Y.1
Wang, M.2
Tao, D.3
Ji, R.4
Dai, Q.5
-
43
-
-
77955997603
-
Image retrieval via probabilistic hypergraph ranking
-
Jun.
-
Y. Huang, Q. Liu, S. Zhang, and D. Metaxas, "Image retrieval via probabilistic hypergraph ranking," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit., Jun. 2010, pp. 3376-3383.
-
(2010)
Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit
, pp. 3376-3383
-
-
Huang, Y.1
Liu, Q.2
Zhang, S.3
Metaxas, D.4
-
44
-
-
84871666061
-
Visual-textual joint relevance learning for tag-based social image search
-
Jan.
-
Y. Gao, M. Wang, Z. Zha, J. Shen, X. Li, and X. Wu, "Visual-textual joint relevance learning for tag-based social image search," IEEE Trans. Image Process., vol. 22, no. 1, pp. 363-376, Jan. 2013.
-
(2013)
IEEE Trans. Image Process.
, vol.22
, Issue.1
, pp. 363-376
-
-
Gao, Y.1
Wang, M.2
Zha, Z.3
Shen, J.4
Li, X.5
Wu, X.6
-
45
-
-
58349107300
-
3D object recognition using hyper-graphs and ranked local invariant features
-
Dec.
-
S. Xia and E. Hancock, "3D object recognition using hyper-graphs and ranked local invariant features," in Proc. Int. Joint IAPR Int. Workshop, SSPR SPR, Dec. 2008, pp. 117-126.
-
(2008)
Proc. Int. Joint IAPR Int. Workshop, SSPR SPR
, pp. 117-126
-
-
Xia, S.1
Hancock, E.2
-
46
-
-
39049145967
-
Semi-supervised graph-based hyperspectral image classification
-
Oct.
-
G. Camps-Valls, T. B. Marsheva, and D. Zhou, "Semi-supervised graph-based hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3044-3054, Oct. 2007.
-
(2007)
IEEE Trans. Geosci. Remote Sens.
, vol.45
, Issue.10
, pp. 3044-3054
-
-
Camps-Valls, G.1
Marsheva, T.B.2
Zhou, D.3
|