-
1
-
-
0032737410
-
Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification
-
Jan
-
X. Jia and J. A. Richards, "Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification, " IEEE Trans. Geosci. Remote Sens., vol. 37, no. 1, pp. 538-542, Jan. 1999.
-
(1999)
IEEE Trans. Geosci. Remote Sens
, vol.37
, Issue.1
, pp. 538-542
-
-
Jia, X.1
Richards, J.A.2
-
2
-
-
0033224771
-
Hyperspectral data analysis and supervised feature reduction via projection pursuit
-
Nov
-
L. O. Jimenez and D. A. Landgrebe, "Hyperspectral data analysis and supervised feature reduction via projection pursuit, " IEEE Trans. Geosci. Remote Sens., vol. 37, no. 6, pp. 2653-2667, Nov. 1999.
-
(1999)
IEEE Trans. Geosci. Remote Sens
, vol.37
, Issue.6
, pp. 2653-2667
-
-
Jimenez, L.O.1
Landgrebe, D.A.2
-
3
-
-
85032751123
-
Manifold-learningbased feature extraction for classification of hyperspectral data
-
Jan
-
D. Lunga, S. Prasad, M.M. Crawford, and K. 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.M.3
Ersoy, K.4
-
5
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Dec
-
J. B. Tenenbaum, V. Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction, " Science, vol. 290, no. 5500, pp. 2319-2323, Dec. 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
Silva, V.2
Langford, J.C.3
-
6
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Dec
-
S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding, " Science, vol. 290, no. 5500, pp. 2323-2326, Dec. 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
7
-
-
14544307975
-
Principal manifolds and nonlinear dimension reduction via local tangent space alignment
-
Dec
-
Z. Y. Zhang and H. Y. L. Zha, "Principal manifolds and nonlinear dimension reduction via local tangent space alignment, " SIAM J. Sci. Comput., vol. 26, no. 1, pp. 313-338, Dec. 2004.
-
(2004)
SIAM J. Sci. Comput
, vol.26
, Issue.1
, pp. 313-338
-
-
Zhang, Z.Y.1
Zha, H.Y.L.2
-
8
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
Mar
-
M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation, " Neural Comput., vol. 15, no. 6, pp. 1373-1396, Mar. 2003.
-
(2003)
Neural Comput
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
9
-
-
53849126897
-
Investigation of nonlinearity in hyperspectral imagery using surrogate data methods
-
Oct
-
T. Han and D. G. Goodenough, "Investigation of nonlinearity in hyperspectral imagery using surrogate data methods, " IEEE Trans. Geosci. Remote Sens., vol. 46, no. 10, pp. 2840-2847, Oct. 2008.
-
(2008)
IEEE Trans. Geosci. Remote Sens
, vol.46
, Issue.10
, pp. 2840-2847
-
-
Han, T.1
Goodenough, D.G.2
-
10
-
-
14644422171
-
Exploiting manifold geometry in hyperspectral imagery
-
Mar
-
C. M. Bachmann and T. L. Ainsworth, "Exploiting manifold 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
-
11
-
-
61349090412
-
Bathymetic retrieval from hyperspectral imagery using manifold coordinate representations
-
Mar
-
C. M. Bachmann et al., "Bathymetic retrieval from hyperspectral imagery using manifold coordinate representations, " IEEE Trans. Geosci. Remote Sens., vol. 47, no. 3, pp. 884-897, Mar. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens
, vol.47
, Issue.3
, pp. 884-897
-
-
Bachmann, C.M.1
-
12
-
-
84860119060
-
Exploring nonlinear manifold learning for classification of hyperspectral data
-
S. Prasad, Ed. Berlin, Germany: Springer-Verlag
-
M. M. Crawford, L. Ma, and W. Kim, "Exploring nonlinear manifold learning for classification of hyperspectral data, " in Optical Remote Sensing: Advances in Signal Processing and Exploitation Techniques, S. Prasad, Ed. Berlin, Germany: Springer-Verlag, 2011, pp. 207-234.
-
(2011)
Optical Remote Sensing: Advances in Signal Processing and Exploitation Techniques
, pp. 207-234
-
-
Crawford, M.M.1
Ma, L.2
Kim, W.3
-
13
-
-
84901845927
-
Active landmark sampling for manifold learning based spectral unmixing
-
Nov
-
J. Chi and M. Crawford, "Active landmark sampling for manifold learning based spectral unmixing, " IEEE Geosci. Remote Sens. Lett., vol. 11, no. 11, pp. 1881-1885, Nov. 2014.
-
(2014)
IEEE Geosci. Remote Sens. Lett
, vol.11
, Issue.11
, pp. 1881-1885
-
-
Chi, J.1
Crawford, M.2
-
14
-
-
77954564059
-
Anomaly detection for hyperspectral images based on robust locally linear embedding
-
Jun
-
L. Ma, M. M. Crawford, and J. W. Tian, "Anomaly detection for hyperspectral images based on robust locally linear embedding, " J. Infrared Millimeter Terahertz Waves, vol. 31, no. 6, pp. 753-762, Jun. 2010.
-
(2011)
J. Infrared Millimeter Terahertz Waves
, vol.31
, Issue.6
, pp. 753-762
-
-
Ma, L.1
Crawford, M.M.2
Tian, J.W.3
-
15
-
-
84891011267
-
Sparse transfer manifold embedding for hyperspectral target detection
-
Feb
-
L. Zhang, L. Zhang, D. Tao, and X. Huang, "Sparse transfer manifold embedding for hyperspectral target detection, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 2. pp. 1030-1043, Feb. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, Issue.2
, pp. 1030-1043
-
-
Zhang, L.1
Zhang, L.2
Tao, D.3
Huang, X.4
-
16
-
-
77956317584
-
Generalized supervised local tangent space alignment for hyperspectral image classification
-
Apr
-
L. Ma, M. M. Crawford, and J. W. Tian, "Generalized supervised local tangent space alignment for hyperspectral image classification, " Electron. Lett., vol. 46, no. 7, pp. 497-498, Apr. 2010.
-
(2011)
Electron. Lett
, vol.46
, Issue.7
, pp. 497-498
-
-
Ma, L.1
Crawford, M.M.2
Tian, J.W.3
-
17
-
-
84903272411
-
Semisupervised manifold alignment of multimodal remote sensing images
-
Dec
-
D. Tuia, M. Volpi, M. Trolliet, and G. Camps-Valls, "Semisupervised manifold alignment of multimodal remote sensing images, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 12, pp. 7708-7720, Dec. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, Issue.12
, pp. 7708-7720
-
-
Tuia, D.1
Volpi, M.2
Trolliet, M.3
Camps-Valls, G.4
-
18
-
-
84863976875
-
A discriminative manifold learning based dimension reduction method for hyperspectral classification
-
Jun
-
B. Du and L. Zhang, "A discriminative manifold learning based dimension reduction method for hyperspectral classification, " Int. J. Fuzzy Syst., vol. 14, no. 2, pp. 272-277, Jun. 2012.
-
(2012)
Int. J. Fuzzy Syst
, vol.14
, Issue.2
, pp. 272-277
-
-
Du, B.1
Zhang, L.2
-
19
-
-
84920948074
-
Spectral-spatial classification for hyperspectral data using rotation forests with local feature extraction and Markov random fields
-
May
-
J. Xia, J. Chanussot, P. Du, and X. He, "Spectral-spatial classification for hyperspectral data using rotation forests with local feature extraction and Markov random fields, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 5, pp. 2532-2546, May 2015.
-
(2015)
IEEE Trans. Geosci. Remote Sens
, vol.53
, Issue.5
, pp. 2532-2546
-
-
Xia, J.1
Chanussot, J.2
Du, P.3
He, X.4
-
20
-
-
84891560778
-
Hierarchical manifold learning with applications to supervised classification for high-resolution remotely sensed images
-
Mar
-
H. B. Huang, H. Huo, and T. Fang, "Hierarchical manifold learning with applications to supervised classification for high-resolution remotely sensed images, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 3, pp. 1677-1692, Mar. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, Issue.3
, pp. 1677-1692
-
-
Huang, H.B.1
Huo, H.2
Fang, T.3
-
21
-
-
78049256476
-
Adaptive classification for hyperspectral image data using manifold regularization kernel machines
-
Nov
-
W. Kim and M. Crawford, "Adaptive classification for hyperspectral image data using manifold regularization kernel machines, " IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4110-4121, Nov. 2010.
-
(2011)
IEEE Trans. Geosci. Remote Sens
, vol.48
, Issue.11
, pp. 4110-4121
-
-
Kim, W.1
Crawford, M.2
-
22
-
-
78049264379
-
Local manifold learning based k-nearest-neighbor for hyperspectral image classification
-
Nov
-
L. Ma, M. M. Crawford, and J. W. Tian, "Local manifold learning based k-nearest-neighbor for hyperspectral image classification, " IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4099-4109, Nov. 2010.
-
(2011)
IEEE Trans. Geosci. Remote Sens
, vol.48
, Issue.11
, pp. 4099-4109
-
-
Ma, L.1
Crawford, M.M.2
Tian, J.W.3
-
23
-
-
84921027070
-
Local manifold learning based graph construction for semisupervised hyperspectral image classification
-
May
-
L. Ma, M. M. Crawford, X. Yang, and Y. Guo, "Local manifold learning based graph construction for semisupervised hyperspectral image classification, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 5, pp. 2832-2844, May 2015.
-
(2015)
IEEE Trans. Geosci. Remote Sens
, vol.53
, Issue.5
, pp. 2832-2844
-
-
Ma, L.1
Crawford, M.M.2
Yang, X.3
Guo, Y.4
-
24
-
-
84922569289
-
Robust L2E estimation of transformation for non-rigid registration
-
Mar
-
J. Ma, W. Qiu, J. Zhao, Y. Ma, A. L. Yuille, and Z. Tu, "Robust L2E estimation of transformation for non-rigid registration, " IEEE Trans. Signal Process., vol. 63, no. 5, pp. 1115-1129, Mar. 2015.
-
(2015)
IEEE Trans. Signal Process
, vol.63
, Issue.5
, pp. 1115-1129
-
-
Ma, J.1
Qiu, W.2
Zhao, J.3
Ma, Y.4
Yuille, A.L.5
Tu, Z.6
-
25
-
-
84916618475
-
Non-rigid visible and infrared face registration via regularized Gaussian fields criterion
-
J. Ma, J. Zhao, Y. Ma, and J. Tian, "Non-rigid visible and infrared face registration via regularized Gaussian fields criterion, " Pattern Recognit., vol. 48, no. 3, pp. 772-784, 2015.
-
(2015)
Pattern Recognit
, vol.48
, Issue.3
, pp. 772-784
-
-
Ma, J.1
Zhao, J.2
Ma, Y.3
Tian, J.4
-
26
-
-
84899967600
-
Advances in spectral-spatial classification of hyperspectral images
-
Mar
-
M. Fauvel, Y. Tarabala, J. A. Benediktsson, J. Chanussot, and J. C. 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
Tarabala, Y.2
Benediktsson, J.A.3
Chanussot, J.4
Tilton, J.C.5
-
27
-
-
31144448472
-
Composite kernels for hyperspectral image classification
-
Jan
-
G. Camps-Valls, L. Gomex-Chova, J. Munoz-Mari, J. Vila-Frances, and J. Calpe-Maravilla, "Composite kernels for hyperspectral image classification, " IEEE Geosci. Remote Sens. Lett., vol. 3, no. 1, pp. 93-97, Jan. 2006.
-
(2006)
IEEE Geosci. Remote Sens. Lett
, vol.3
, Issue.1
, pp. 93-97
-
-
Camps-Valls, G.1
Gomex-Chova, L.2
Munoz-Mari, J.3
Vila-Frances, J.4
Calpe-Maravilla, J.5
-
28
-
-
14644435059
-
Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
-
Mar
-
A. Plaza, P. Martinez, J. Plaza, and R. Perez, "Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations, " IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 466-479, Mar. 2005.
-
(2005)
IEEE Trans. Geosci. Remote Sens
, vol.43
, Issue.3
, pp. 466-479
-
-
Plaza, A.1
Martinez, P.2
Plaza, J.3
Perez, R.4
-
29
-
-
84871748730
-
An SVM ensemble approach combining spectral, structural, and semantic features for the classification of highresolution remotely sensed imagery
-
Jan
-
X. Huang and L. P. Zhang, "An SVM ensemble approach combining spectral, structural, and semantic features for the classification of highresolution remotely sensed imagery, " IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 257-272, Jan. 2013.
-
(2013)
IEEE Trans. Geosci. Remote Sens
, vol.51
, Issue.1
, pp. 257-272
-
-
Huang, X.1
Zhang, L.P.2
-
30
-
-
84905922440
-
Joint within-class collaborative representation for hyperspectral image classification
-
Jun
-
W. Li and Q. Du, "Joint within-class collaborative representation for hyperspectral image classification, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 6, pp. 2200-2208, Jun. 2014.
-
(2014)
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens
, vol.7
, Issue.6
, pp. 2200-2208
-
-
Li, W.1
Du, Q.2
-
31
-
-
84873105448
-
Integrating spatial proximity with manifold learning for hyperspectral data
-
W. Kim, M. Crawford, and S. Lee, "Integrating spatial proximity with manifold learning for hyperspectral data, " Korean J. Remote Sens., vol. 26, no. 6, pp. 693-703, 2010.
-
(2011)
Korean J. Remote Sens
, vol.26
, Issue.6
, pp. 693-703
-
-
Kim, W.1
Crawford, M.2
Lee, S.3
-
32
-
-
84890403382
-
Multidimensional artificial field embedding with spatial sensitivity
-
Feb
-
D. Lunga and O. Ersoy, "Multidimensional artificial field embedding with spatial sensitivity, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 2, pp. 1518-1532, Feb. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, Issue.2
, pp. 1518-1532
-
-
Lunga, D.1
Ersoy, O.2
-
33
-
-
84880258880
-
A novel method for hyperspectral image classification based on Laplacian eigenmap pixels distributionflow
-
Jun
-
B. Hou, X. Zhang, Q. Ye, and Y. Zheng, "A novel method for hyperspectral image classification based on Laplacian eigenmap pixels distributionflow, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 3, pp. 1602-1648, Jun. 2013.
-
(2013)
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens
, vol.6
, Issue.3
, pp. 1602-1648
-
-
Hou, B.1
Zhang, X.2
Ye, Q.3
Zheng, Y.4
-
34
-
-
84873179751
-
Exploiting spectral-spatial proximity for classification of hyperspectral data on manifold
-
Jul
-
H. Yang and M. Crawford, "Exploiting spectral-spatial proximity for classification of hyperspectral data on manifold, " in Proc. IEEE Int. Symp. Geosci. Remote Sens., Munich, Germany, Jul. 2012, pp. 4174-4178.
-
(2012)
Proc IEEE Int. Symp. Geosci. Remote Sens., Munich, Germany
, pp. 4174-4178
-
-
Yang, H.1
Crawford, M.2
-
35
-
-
84894515623
-
Nonlinear dimensionality reduction via ENH-LTSA method for hyperspectral image classification
-
Jun
-
W. Sun et al., "Nonlinear dimensionality reduction via ENH-LTSA method for hyperspectral image classification, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 3, pp. 375-388, Jun. 2013.
-
(2013)
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens
, vol.6
, Issue.3
, pp. 375-388
-
-
Sun, W.1
-
36
-
-
34247356156
-
Spatially coherent nonlinear dimensionality reduction and segmentation of hyperspectral images
-
Apr
-
A. Mohan, G. Sapiro, and E. Bosch, "Spatially coherent nonlinear dimensionality reduction and segmentation of hyperspectral images, " IEEE Geosci. Remote Sens. Lett., vol. 4, no. 2, pp. 206-210, Apr. 2007.
-
(2007)
IEEE Geosci. Remote Sens. Lett
, vol.4
, Issue.2
, pp. 206-210
-
-
Mohan, A.1
Sapiro, G.2
Bosch, E.3
-
37
-
-
84901313744
-
Dimensionality reduction of hyperspectral images based on robust spatial information using locally linear embedding
-
Oct
-
Y. Fang et al., "Dimensionality reduction of hyperspectral images based on robust spatial information using locally linear embedding, " IEEE Geosci. Remote Sens. Lett., vol. 11, no. 10, pp. 1712-1716, Oct. 2014.
-
(2014)
IEEE Geosci. Remote Sens. Lett
, vol.11
, Issue.10
, pp. 1712-1716
-
-
Fang, Y.1
-
38
-
-
84902072726
-
A novel spatial-spectral similarity measure for dimensionality reduction and classification of hyperspectral imagery
-
Nov
-
H. Pu, Z. Chen, B. Wang, and G. Jiang, "A novel spatial-spectral similarity measure for dimensionality reduction and classification of hyperspectral imagery, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 11, pp. 7008-7022, Nov. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, Issue.11
, pp. 7008-7022
-
-
Pu, H.1
Chen, Z.2
Wang, B.3
Jiang, G.4
-
39
-
-
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
-
40
-
-
70349429586
-
Multiresolution manifold learning for classification of hyperspectral data
-
Jul
-
W. Kim, M. Crawford, J. Tilton, and J. Ghosh, "Multiresolution manifold learning for classification of hyperspectral data, " in Proc. IEEE Int. Symp. Geosci. Remote Sens., Barcelona, Spain, Jul. 2007, pp. 3785-3788.
-
(2007)
Proc IEEE Int. Symp. Geosci. Remote Sens., Barcelona, Spain
, pp. 3785-3788
-
-
Kim, W.1
Crawford, M.2
Tilton, J.3
Ghosh, J.4
-
41
-
-
84883080198
-
Semi-supervised hyperspectral image classification using spatio-spectral Laplacian support vector machine
-
Mar
-
L. Yang, S. Yang, P. Jin, and R. Zhang, "Semi-supervised hyperspectral image classification using spatio-spectral Laplacian support vector machine, " IEEE Geosci. Remote Sens. Lett., vol. 11, no. 3, pp. 651-655, Mar. 2014.
-
(2014)
IEEE Geosci. Remote Sens. Lett
, vol.11
, Issue.3
, pp. 651-655
-
-
Yang, L.1
Yang, S.2
Jin, P.3
Zhang, R.4
-
42
-
-
33947194180
-
Graph embedding and extensions: A general framework for dimensionality reduction
-
Jan
-
S. C. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang, and S. Lin, "Graph embedding and extensions: A general framework for dimensionality reduction, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 1, pp. 40-51, Jan. 2007.
-
(2007)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.29
, Issue.1
, pp. 40-51
-
-
Yan, S.C.1
Xu, D.2
Zhang, B.3
Zhang, H.4
Yang, Q.5
Lin, S.6
-
43
-
-
4344635655
-
Out-of-sample extensions for LLE, Isomap, MDS, eigenmaps, and spectral clustering
-
Jul
-
Y. Bengio, J. F. Paiement, and P. Vincent, "Out-of-sample extensions for LLE, Isomap, MDS, eigenmaps, and spectral clustering, " in Proc. Adv. Neural Inf. Process. Syst. 16, Jul. 2003, pp. 177-184.
-
(2003)
Proc. Adv. Neural Inf. Process. Syst
, vol.16
, pp. 177-184
-
-
Bengio, Y.1
Paiement, J.F.2
Vincent, P.3
-
44
-
-
11144299132
-
A kernel view of the dimensionality reduction of manifold
-
Jul
-
J. Ham, D. Lee, S. Mika, and B. Scholkopf, "A kernel view of the dimensionality reduction of manifold, " in Proc. 21st Int. Conf. Mach. Learn., Banff, Alberta, Canada, Jul. 2004, pp. 369-376.
-
(2004)
Proc. 21st Int. Conf. Mach. Learn., Banff, Alberta, Canada
, pp. 369-376
-
-
Ham, J.1
Lee, D.2
Mika, S.3
Scholkopf, B.4
-
45
-
-
84907495101
-
Generalized graph-based fusion of hyperspectral and LiDAR data using morphological features
-
Mar
-
W. Liao, A. Pizurica, R. Bellens, S. Gautama, and W. Philips, "Generalized graph-based fusion of hyperspectral and LiDAR data using morphological features, " IEEE Geosci. Remote Sens. Lett., vol. 12, no. 3, pp. 552-556, Mar. 2015.
-
(2015)
IEEE Geosci. Remote Sens. Lett
, vol.12
, Issue.3
, pp. 552-556
-
-
Liao, W.1
Pizurica, A.2
Bellens, R.3
Gautama, S.4
Philips, W.5
-
46
-
-
84894500366
-
-
(2013). IEEE GRSS Data Fusion Contest [Online]. Available: http://www.grss-ieee.org/community/technical-committees/data-fusion/
-
(2013)
IEEE GRSS Data Fusion Contest
-
-
-
47
-
-
84905924444
-
Hyperspectral and LiDAR data fusion: Outcome of the 2013 GRSS data fusion contest
-
Jun
-
C. Debes et al., "Hyperspectral and LiDAR data fusion: Outcome of the 2013 GRSS data fusion contest, " IEEE J. Sel. Topics Appl. Earth Observ. and Remote Sensing, vol. 7, no. 6, pp. 2405-2418, Jun. 2014.
-
(2014)
IEEE J. Sel. Topics Appl. Earth Observ. and Remote Sensing
, vol.7
, Issue.6
, pp. 2405-2418
-
-
Debes, C.1
|