-
2
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
M. Ester, H. P. Kriegel, J. Sander, and X. Xu, "A density-based algorithm for discovering clusters in large spatial databases with noise," in Proc. Conf. Knowl. Discov. Data Mining, 1996, pp. 226-231.
-
(1996)
Proc. Conf. Knowl. Discov. Data Mining
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.P.2
Sander, J.3
Xu, X.4
-
3
-
-
67650436064
-
Recent advances in techniques for hyperspectral image processing
-
Sep
-
A. Plaza, J. A. Benediktsson, J. W. Boardman, J. Brazile, L. Bruzzone, G. Camps-Valls, J. Chanussot, M. Fauvel, P. Gamba, A. Gualtieri, M. Marconcini, J. C. Tilton, and G. Trianni, "Recent advances in techniques for hyperspectral image processing," Remote Sens. Environ., vol. 113, no. Supp. l, pp. S110-S122, Sep. 2009.
-
(2009)
Remote Sens. Environ
, vol.113
, Issue.SUPPL. 1
-
-
Plaza, A.1
Benediktsson, J.A.2
Boardman, J.W.3
Brazile, J.4
Bruzzone, L.5
Camps-Valls, G.6
Chanussot, J.7
Fauvel, M.8
Gamba, P.9
Gualtieri, A.10
Marconcini, M.11
Tilton, J.C.12
Trianni, G.13
-
4
-
-
0022927181
-
Enhancement of computer classifications by logical smoothing
-
F. Townsend, "The enhancement of computer classifications by logical smoothing in remote sensing," Photogramm. Eng. Remote Sens., vol. 52, pp. 213-221, 1986. (Pubitemid 16490238)
-
(1986)
Photogrammetric Engineering and Remote Sensing
, vol.52
, Issue.2
, pp. 213-221
-
-
Townsend, F.1
-
5
-
-
0035502877
-
Spatial models for fuzzy clustering
-
DOI 10.1006/cviu.2001.0951
-
D. L. Pham, "Spatial models for fuzzy clustering," Comput. Vis. Image Understand., vol. 84, no. 2, pp. 285-297, Nov. 2001. (Pubitemid 34222299)
-
(2001)
Computer Vision and Image Understanding
, vol.84
, Issue.2
, pp. 285-297
-
-
Pham, D.L.1
-
6
-
-
0036395120
-
An automated clustering/segmentation of hyperspectral images based on histogram thresholding
-
DOI 10.1117/12.453367
-
J. Silverman, C. E. Caefer, J. M. Mooney, M. M. Weeks, and P. Yip, "Automated clustering/segmentation of hyperspectral images based on histogram thresholding," in Proc. SPIE, 2002, pp. 65-75. (Pubitemid 35153035)
-
(2002)
Proceedings of SPIE - The International Society for Optical Engineering
, vol.4480
, pp. 65-75
-
-
Silverman, J.1
Caefer, C.E.2
Mooney, J.M.3
Weeks, M.M.4
Yip, P.5
-
7
-
-
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
-
8
-
-
80053366305
-
A spatial constrained k-means approach to image segmentation
-
Dec
-
M. Luo, Y. F. Ma, and H. J. Zhang, "A spatial constrained k-means approach to image segmentation," in Proc. Joint Conf. Int. Conf. Inf., Commun. Signal Process./Pacific Rim Conf. Multimedia, Dec. 2003, pp. 738-742.
-
(2003)
Proc. Joint Conf. Int. Conf. Inf., Commun. Signal Process./Pacific Rim Conf. Multimedia
, pp. 738-742
-
-
Luo, M.1
Ma, Y.F.2
Zhang, H.J.3
-
9
-
-
78649323297
-
A de-texturing and spatially constrained k-means approach for image segmentation
-
Jan.
-
M. Mignotte, "A de-texturing and spatially constrained k-means approach for image segmentation," Pattern Recognit. Lett., vol. 32, no. 2, pp. 359-367, Jan. 2011.
-
(2011)
Pattern Recognit. Lett
, vol.32
, Issue.2
, pp. 359-367
-
-
Mignotte, M.1
-
10
-
-
0037209490
-
EM procedures using mean field-like approximations for Markov model-based image segmentation
-
Jan
-
G. Celeux, F. Forbes, and N. Peyrard, "EM procedures using mean field-like approximations for Markov model-based image segmentation," Pattern Recognit., vol. 36, no. 1, pp. 131-144, Jan. 2003.
-
(2003)
Pattern Recognit
, vol.36
, Issue.1
, pp. 131-144
-
-
Celeux, G.1
Forbes, F.2
Peyrard, N.3
-
11
-
-
0030142628
-
Conditional fuzzy C-means
-
DOI 10.1016/0167-8655(96)00027-X, PII S016786559600027X
-
W. Pedrycz, "Conditional fuzzy c-means," Pattern Recognit. Lett., vol. 17, no. 6, pp. 625-631, May 1996. (Pubitemid 126384143)
-
(1996)
Pattern Recognition Letters
, vol.17
, Issue.6
, pp. 625-631
-
-
Pedrycz, W.1
-
12
-
-
0036157616
-
Multivariate image segmentation based on geometrically guided fuzzy C-means clustering
-
Jan
-
J. Noordam and W. Van Den Broek, "Multivariate image segmentation based on geometrically guided fuzzy C-means clustering," J. Chemometrics, vol. 16, no. 1, pp. 1-11, Jan. 2002.
-
(2002)
J. Chemometrics
, vol.16
, Issue.1
, pp. 1-11
-
-
Noordam, J.1
Broek Den W.Van2
-
13
-
-
0015680481
-
Textural features for image classification
-
Nov
-
R. Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification," IEEE Trans. Syst., Man, Cybern., vol. SMC-3, no. 6, pp. 610-621, Nov. 1973.
-
(1973)
IEEE Trans. Syst., Man, Cybern.
, vol.SMC-3
, Issue.6
, pp. 610-621
-
-
Haralick, R.1
Shanmugam, K.2
Dinstein, I.3
-
14
-
-
77958017904
-
SVM-and MRF-based method for accurate classification of hyperspectral images
-
Oct.
-
Y. Tarabalka, M. Fauvel, J. Chanussot, and J. A. Benediktsson, "SVM-and MRF-based method for accurate classification of hyperspectral images," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 4, pp. 736-740, Oct. 2010.
-
(2010)
IEEE Geosci. Remote Sens. Lett
, vol.7
, Issue.4
, pp. 736-740
-
-
Tarabalka, Y.1
Fauvel, M.2
Chanussot, J.3
Benediktsson, J.A.4
-
15
-
-
0024856897
-
The Laplacian-of-Gaussian kernel: A formal analysis and design procedure for fast, accurate convolution and full-frame output
-
Nov
-
G. Sotak, "The Laplacian-of-Gaussian kernel: A formal analysis and design procedure for fast, accurate convolution and full-frame output," Comput. Vis., Graph., Image Process., vol. 48, no. 2, pp. 147-189, Nov. 1989.
-
(1989)
Comput. Vis., Graph., Image Process
, vol.48
, Issue.2
, pp. 147-189
-
-
Sotak, G.1
-
16
-
-
80052335044
-
Adaptive Markov random field approach for classification of hyperspectral imagery
-
Sep.
-
B. Zhang, S. Li, X. Jia, L. Gao, and M. Peng, "Adaptive Markov random field approach for classification of hyperspectral imagery," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 5, pp. 973-977, Sep. 2011.
-
(2011)
IEEE Geosci. Remote Sens. Lett
, vol.8
, Issue.5
, pp. 973-977
-
-
Zhang, B.1
Li, S.2
Jia, X.3
Gao, L.4
Peng, M.5
-
17
-
-
18244373780
-
Fuzzy clustering based segmentation of time-series
-
Berlin, Germany: Springer- Verlag
-
J. Abonyi, B. Feil, S. Nemeth, and P. Arva, "Fuzzy clustering based segmentation of time-series," in Advances in Intelligent Data Analysis V, vol. 2810. Berlin, Germany: Springer-Verlag, 2003, pp. 275-285.
-
(2003)
Advances in Intelligent Data Analysis v
, vol.2810
, pp. 275-285
-
-
Abonyi, J.1
Feil, B.2
Nemeth, S.3
Arva, P.4
-
18
-
-
1842481516
-
Estimation of number of spectrally distinct signal sources in hyperspectral imagery
-
Mar
-
C. I. Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 3, pp. 608-619, Mar. 2004.
-
(2004)
IEEE Trans. Geosci. Remote Sens
, vol.42
, Issue.3
, pp. 608-619
-
-
Chang, C.I.1
Du, Q.2
-
19
-
-
33644508946
-
Estimation of signal subspace on hyperspectral data
-
Bruges, Belgium
-
J. M. Bioucas-Dias and J. M. P. Nascimento, "Estimation of signal subspace on hyperspectral data," in Proc. SPIE-Conf. Image Signal Process. Remote Sens., Bruges, Belgium, 2005, pp. 191-198.
-
(2005)
Proc. SPIE-Conf. Image Signal Process. Remote Sens.
, pp. 191-198
-
-
Bioucas-Dias, J.M.1
Nascimento, J.M.P.2
-
20
-
-
0026278621
-
A review of assessing the accuracy of classifications of remotely sensed data
-
Jul
-
R. Congalton, "A review of assessing the accuracy of classifications of remotely sensed data," Remote Sens. Environ., vol. 37, no. 1, pp. 35-46, Jul. 1991.
-
(1991)
Remote Sens. Environ
, vol.37
, Issue.1
, pp. 35-46
-
-
Congalton, R.1
-
21
-
-
0036454126
-
Improved covariance estimation for Gustafson-Kessel clustering
-
R. Babuka, P. Van der Veen, and U. Kaymak, "Improved covariance estimation for Gustafson-Kessel clustering," in Proc. IEEE Int. Conf. Fuzzy Syst., 2002, pp. 1081-1085. (Pubitemid 35466274)
-
(2002)
IEEE International Conference on Plasma Science
, vol.2
, pp. 1081-1085
-
-
Babuska, R.1
Van Der Veen, P.J.2
Kaymak, U.3
-
22
-
-
62749083855
-
Using conditional FCM to mine eventrelated brain dynamics
-
Apr
-
C. N. Zigkolis and N. A. Laskaris, "Using conditional FCM to mine eventrelated brain dynamics," Comput. Biol. Med., vol. 39, no. 4, pp. 346-354, Apr. 2009.
-
(2009)
Comput. Biol. Med
, vol.39
, Issue.4
, pp. 346-354
-
-
Zigkolis, C.N.1
Laskaris, N.A.2
-
23
-
-
80053590296
-
Hyperspectral data classification using geostatistics and support vector machines
-
Jun.
-
S. Bahria, N. Essoussi, and M. Limam, "Hyperspectral data classification using geostatistics and support vector machines," Remote Sens. Lett., vol. 2, no. 2, pp. 99-106, Jun. 2011.
-
(2011)
Remote Sens. Lett
, vol.2
, Issue.2
, pp. 99-106
-
-
Bahria, S.1
Essoussi, N.2
Limam, M.3
-
24
-
-
70549090027
-
Clustering of hyperspectral images based on multiobjective particle swarm optimization
-
Dec
-
A. Paoli, F. Melgani, and E. Pasolli, "Clustering of hyperspectral images based on multiobjective particle swarm optimization," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 12, pp. 4175-4188, Dec. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens
, vol.47
, Issue.12
, pp. 4175-4188
-
-
Paoli, A.1
Melgani, F.2
Pasolli, E.3
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