-
1
-
-
85032751896
-
Hyperspectral image data analysis
-
Jan
-
D. A. Landgrebe, "Hyperspectral image data analysis," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 17-28, Jan. 2002.
-
(2002)
IEEE Signal Process. Mag
, vol.19
, Issue.1
, pp. 17-28
-
-
Landgrebe, D.A.1
-
2
-
-
0024031906
-
Object-oriented feature extraction method for image data compaction
-
Jun
-
H. Ghassemian and D. A. Landgrebe, "Object-oriented feature extraction method for image data compaction," IEEE Control Syst. Mag., vol. 8, no. 3, pp. 42-46, Jun. 1988.
-
(1988)
IEEE Control Syst. Mag
, vol.8
, Issue.3
, pp. 42-46
-
-
Ghassemian, H.1
Landgrebe, D.A.2
-
3
-
-
77957993814
-
Spatio-spectral remote sensing image classification with graph kernels
-
Oct.
-
G. Camps-Valls, N. Shervashidze, and K. M. Borgwardt, "Spatio-spectral remote sensing image classification with graph kernels," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 4, pp. 741-745, Oct. 2010.
-
(2010)
IEEE Geosci. Remote Sens. Lett
, vol.7
, Issue.4
, pp. 741-745
-
-
Camps-Valls, G.1
Shervashidze, N.2
Borgwardt, K.M.3
-
4
-
-
0028499630
-
The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon
-
Sep
-
B.M. Shahshahani and D. A. Landgrebe, "The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon," IEEE Trans. Geosci. Remote Sens., vol. 32, no. 5, pp. 1087-1095, Sep. 1994.
-
(1994)
IEEE Trans. Geosci. Remote Sens
, vol.32
, Issue.5
, pp. 1087-1095
-
-
Shahshahani, B.M.1
Landgrebe, D.A.2
-
5
-
-
33750057678
-
Measurement of uncertainty by the entropy: Application to the classification of MSS data
-
DOI 10.1080/01431160600647225, PII X7622453G8124006
-
H. Dehghani and H. Ghassemian, "Measurement of uncertainty by the entropy: Application to the classification of MSS data," Int. J. Remote Sens., vol. 27, no. 18, pp. 4005-4014, Sep. 2006. (Pubitemid 44575061)
-
(2006)
International Journal of Remote Sensing
, vol.27
, Issue.18
, pp. 4005-4014
-
-
Dehghan, H.1
Ghassemian, H.2
-
6
-
-
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
-
7
-
-
4344614511
-
Classification of hyperspectral remote sensing images with support vector machines
-
Aug
-
M. 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, M.1
Bruzzone, L.2
-
8
-
-
0023854011
-
Transformation for ordering multispectral data in terms of image quality with implications for noise removal
-
DOI 10.1109/36.3001
-
A. A. Green, M. Berman, P. Switzer, and M. D. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. Geosci. Remote Sens., vol. 26, no. 1, pp. 65-74, Jan. 1988. (Pubitemid 18596008)
-
(1988)
IEEE Transactions on Geoscience and Remote Sensing
, vol.26
, Issue.1
, pp. 65-74
-
-
Green, A.A.1
Berman, M.2
Switzer, P.3
Craig, M.D.4
-
9
-
-
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
-
10
-
-
79959742177
-
Unmixing prior to supervised classification of remotely sensed hyperspectral images
-
Jul.
-
I. Dopido, M. Zortea, A. Plaza, and P. Gamba, "Unmixing prior to supervised classification of remotely sensed hyperspectral images," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 4, pp. 760-764, Jul. 2011.
-
(2011)
IEEE Geosci. Remote Sens. Lett
, vol.8
, Issue.4
, pp. 760-764
-
-
Dopido, I.1
Zortea, M.2
Plaza, A.3
Gamba, P.4
-
11
-
-
0033224771
-
Hyperspectral data analysis and supervised feature reduction via projection pursuit
-
DOI 10.1109/36.803413
-
L. Jimenez and D. A. Landgrebe, "Hyperspectral data analysis and feature reduction via projection pursuit," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 6, pp. 2653-2667, Nov. 1999. (Pubitemid 30519598)
-
(1999)
IEEE Transactions on Geoscience and Remote Sensing
, vol.37
, Issue.6
, pp. 2653-2667
-
-
Jimenez, L.O.1
-
12
-
-
35348882054
-
Modified Fisher's linear discriminant analysis for hyperspectral imagery
-
DOI 10.1109/LGRS.2007.900751
-
Q. Du, "Modified Fisher's linear discriminant analysis for hyperspectral imagery," IEEE Geosci. Remote Sens. Lett., vol. 4, no. 4, pp. 503-507, Oct. 2007. (Pubitemid 47588019)
-
(2007)
IEEE Geoscience and Remote Sensing Letters
, vol.4
, Issue.4
, pp. 503-507
-
-
Du, Q.1
-
14
-
-
84915005479
-
Probability of error, equivocation, and the Chernoff bound
-
Jul
-
E. Hellman and J. Raviv, "Probability of error, equivocation, and the Chernoff bound," IEEE. Trans. Inf. Theory, vol. IT-16, no. 4, pp. 368-372, Jul. 1970.
-
(1970)
IEEE Trans. Inf. Theory
, vol.IT-16
, Issue.4
, pp. 368-372
-
-
Hellman, E.1
Raviv, J.2
-
15
-
-
33746475260
-
Feature extraction using information-theoretic learning
-
DOI 10.1109/TPAMI.2006.186
-
K. E. Hild, D. Erdogmus, K. Torkkola, and J. C. Principe, "Feature extraction using information theoretic learning," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 9, pp. 1385-1392, Sep. 2006. (Pubitemid 44132646)
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.9
, pp. 1385-1392
-
-
Hild II, K.E.1
Erdogmus, D.2
Torkkola, K.3
Principe, J.C.4
-
16
-
-
24344458137
-
Feature selection based on mutual information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy
-
DOI 10.1109/TPAMI.2005.159
-
H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and minredundancy," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 8, pp. 1226-1238, Aug. 2005. (Pubitemid 41245053)
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.8
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
17
-
-
0030327572
-
On locally adaptive density estimation
-
Dec
-
S. R. Sain and D. W. Scott, "On locally adaptive density estimation," J. Amer. Stat. Assoc., vol. 91, no. 436, pp. 1525-1534, Dec. 1996.
-
(1996)
J. Amer. Stat. Assoc
, vol.91
, Issue.436
, pp. 1525-1534
-
-
Sain, S.R.1
Scott, D.W.2
-
19
-
-
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
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