-
2
-
-
0025453627
-
Neural network approaches versus statistical methods in classification of multi-source remote sensing data
-
Benediktsson JA, Swain PH, Ersoy OK (1990) Neural network approaches versus statistical methods in classification of multi-source remote sensing data. IEEE Transactions on Geoscience and Remote Sensing 28(4): 540-552
-
(1990)
IEEE Transactions on Geoscience and Remote Sensing
, vol.28
, Issue.4
, pp. 540-552
-
-
Benediktsson, J.A.1
Swain, P.H.2
Ersoy, O.K.3
-
5
-
-
0032638011
-
A neural-statistical approach to multi-temporal and multi-source remote-sensing image classification
-
Bruzzone L, Fernandez D, Serpico SB (1999a) A neural-statistical approach to multi-temporal and multi-source remote-sensing image classification. IEEE Transactions on Geoscience and Remote Sensing 37(3): 1350-1359
-
(1999)
IEEE Transactions on Geoscience and Remote Sensing
, vol.37
, Issue.3
, pp. 1350-1359
-
-
Bruzzone, L.1
Fernandez, D.2
Serpico, S.B.3
-
6
-
-
0033099197
-
A technique for the selection of kernel-function parameters in RBF neural networks for classification of remote-sensing images
-
Bruzzone L, Prieto DF (1999b) A technique for the selection of kernel-function parameters in RBF neural networks for classification of remote-sensing images. IEEE Transactions on Geoscience and Remote Sensing 37(2): 551-559
-
(1999)
IEEE Transactions on Geoscience and Remote Sensing
, vol.37
, Issue.2
, pp. 551-559
-
-
Bruzzone, L.1
Prieto, D.F.2
-
7
-
-
0033707763
-
Automatic analysis of the difference image for unsupervised change detection
-
Bruzzone L, Prieto DF (2000) Automatic analysis of the difference image for unsupervised change detection. IEEE Transactions on Geoscience and Remote Sensing 38(3): 1171-1182
-
(2000)
IEEE Transactions on Geoscience and Remote Sensing
, vol.38
, Issue.3
, pp. 1171-1182
-
-
Bruzzone, L.1
Prieto, D.F.2
-
8
-
-
0035248272
-
Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images
-
Bruzzone L, Prieto DF (2001) Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images. IEEE Transactions on Geoscience and Remote Sensing 39(2): 456-460
-
(2001)
IEEE Transactions on Geoscience and Remote Sensing
, vol.39
, Issue.2
, pp. 456-460
-
-
Bruzzone, L.1
Prieto, D.F.2
-
9
-
-
0029341753
-
Approximation capability to functions of several variables, nonlinear functions, and operators by radial basis function neural networks
-
Chen T, Chen H (1995) Approximation capability to functions of several variables, nonlinear functions, and operators by radial basis function neural networks. IEEE Transactions on Neural Networks 6: 904-910
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, pp. 904-910
-
-
Chen, T.1
Chen, H.2
-
12
-
-
0034655795
-
Continuous fields of vegetation characteristics: A linear mixture model applied to multi-year 8 km AVHRR data
-
DeFries R, Hansen M, Townshend J (2000) Continuous fields of vegetation characteristics: A linear mixture model applied to multi-year 8 km AVHRR data. International Journal of Remote Sensing 21: 1389-1414
-
(2000)
International Journal of Remote Sensing
, vol.21
, pp. 1389-1414
-
-
DeFries, R.1
Hansen, M.2
Townshend, J.3
-
14
-
-
0008096229
-
Evaluation of neural pattern classifiers for a remote sensing application
-
Fischer MM, Gopal S, Staufer P, Steinnocher K (1997) Evaluation of neural pattern classifiers for a remote sensing application. Geographical Systems 4(2): 195-218
-
(1997)
Geographical Systems
, vol.4
, Issue.2
, pp. 195-218
-
-
Fischer, M.M.1
Gopal, S.2
Staufer, P.3
Steinnocher, K.4
-
16
-
-
0000065292
-
Regulation theory, radial basis functions, and networks
-
Cherkassky V, Friedman JH (eds) Springer, Berlin Heidelberg New York
-
Girosi F (1994) Regulation theory, radial basis functions, and networks. In Cherkassky V, Friedman JH (eds) From Statistics to Neural Networks - Theory and Pattern Recognition Applications. Springer, Berlin Heidelberg New York, pp. 166-187
-
(1994)
From Statistics to Neural Networks - Theory and Pattern Recognition Applications
, pp. 166-187
-
-
Girosi, F.1
-
17
-
-
0033732354
-
Selecting radial basis function network centers with recursive orthogonal least squares training
-
Gomm JB, Yu D (2000) Selecting radial basis function network centers with recursive orthogonal least squares training. IEEE Transactions on Neural networks 11(2): 306-314
-
(2000)
IEEE Transactions on Neural Networks
, vol.11
, Issue.2
, pp. 306-314
-
-
Gomm, J.B.1
Yu, D.2
-
19
-
-
0026678254
-
Classification of multi-spectral remote sensing data using a back-propagation neural network
-
Heermann PD, Khazenie N (1992) Classification of multi-spectral remote sensing data using a back-propagation neural network. IEEE Transactions on Geoscience and Remote Sensing 30(1): 81-88
-
(1992)
IEEE Transactions on Geoscience and Remote Sensing
, vol.30
, Issue.1
, pp. 81-88
-
-
Heermann, P.D.1
Khazenie, N.2
-
20
-
-
0032690356
-
Reformulated radial basis neural networks trained by gradient descent
-
Karayiannis NB (1999) Reformulated radial basis neural networks trained by gradient descent. IEEE Transactions on Neural Networks 10(3): 657-671
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, Issue.3
, pp. 657-671
-
-
Karayiannis, N.B.1
-
21
-
-
0031270611
-
Growing radial basis neural networks: Merging supervised and unsupervised learning with network growth techniques
-
Karayiannis NB, Mi W (1997) Growing radial basis neural networks: Merging supervised and unsupervised learning with network growth techniques. IEEE Transactions on Neural Networks 8(6): 1492-1506
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, Issue.6
, pp. 1492-1506
-
-
Karayiannis, N.B.1
Mi, W.2
-
24
-
-
0039833335
-
Neural networks, Bayesian a posteriori probabilities, and pattern classification
-
Cherkassky V, Friedman JH (eds) Springer, Berlin Heidelberg New York
-
Lippmann RP (1994) Neural networks, Bayesian a posteriori probabilities, and pattern classification. In Cherkassky V, Friedman JH (eds) From Statistics to Neural Networks - Theory and Pattern Recognition Applications. Springer, Berlin Heidelberg New York, pp. 83-104
-
(1994)
From Statistics to Neural Networks - Theory and Pattern Recognition Applications
, pp. 83-104
-
-
Lippmann, R.P.1
-
25
-
-
0034227415
-
Estimation of elliptical basis function parameters by the EM algorithm with application to speaker verification
-
Mak M, Kung S (2000) Estimation of elliptical basis function parameters by the EM algorithm with application to speaker verification. IEEE Transactions on Neural Networks 11(4): 961-969
-
(2000)
IEEE Transactions on Neural Networks
, vol.11
, Issue.4
, pp. 961-969
-
-
Mak, M.1
Kung, S.2
-
26
-
-
0034227864
-
Probabilistic neural-network structure determination for pattern classification
-
Mao KZ, Tan KC, Ser W (2000) Probabilistic neural-network structure determination for pattern classification. IEEE Transactions on Neural Networks 11(4): 1009-1016
-
(2000)
IEEE Transactions on Neural Networks
, vol.11
, Issue.4
, pp. 1009-1016
-
-
Mao, K.Z.1
Tan, K.C.2
Ser, W.3
-
27
-
-
0003012586
-
Land cover classification revisited
-
Atkinson PM, Tate NJ (eds) John Wiley, New York
-
Mather PM (1999) Land cover classification revisited. In Atkinson PM, Tate NJ (eds) Advances in Remote Sensing and GIS Analysis. John Wiley, New York, pp. 7-16
-
(1999)
Advances in Remote Sensing and GIS Analysis
, pp. 7-16
-
-
Mather, P.M.1
-
30
-
-
0000672424
-
Fast learning in network of locally-turned processing units
-
Moody J, Darken CJ (1989) Fast learning in network of locally-turned processing units. Neural Computation 1: 281-294
-
(1989)
Neural Computation
, vol.1
, pp. 281-294
-
-
Moody, J.1
Darken, C.J.2
-
32
-
-
0029415649
-
A review and analysis of back-propagation neural networks for classification of remotely-sensed multi-spectral imagery
-
Paola JD, Schowengerdt RA (1995) A review and analysis of back-propagation neural networks for classification of remotely-sensed multi-spectral imagery. International Journal of Remote Sensing 16: 3033-3058
-
(1995)
International Journal of Remote Sensing
, vol.16
, pp. 3033-3058
-
-
Paola, J.D.1
Schowengerdt, R.A.2
-
33
-
-
0001355838
-
Radial basis functions for multivariable interpolation: A review
-
Mason JC, Cox MG (eds) Oxford University Press, Oxford
-
Powell MJD (1987) Radial basis functions for multivariable interpolation: A review. In Mason JC, Cox MG (eds) Algorithms for Approximation of Functions and Data. Oxford University Press, Oxford, pp. 143-167
-
(1987)
Algorithms for Approximation of Functions and Data
, pp. 143-167
-
-
Powell, M.J.D.1
-
35
-
-
0032442727
-
Image classification algorithm based on the RBF neural network and K-means
-
Rollet R, Benie GB, Li W, Wang S (1998) Image classification algorithm based on the RBF neural network and K-means. International Journal of Remote Sensing 19(15): 3003-3009
-
(1998)
International Journal of Remote Sensing
, vol.19
, Issue.15
, pp. 3003-3009
-
-
Rollet, R.1
Benie, G.B.2
Li, W.3
Wang, S.4
-
36
-
-
0031272926
-
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
-
Scholkopf B, Sung K, Burges CJC, Girosi F, Niyogi P, Poggio T, Vapnik V (1997) Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Transactions on Signal Processing 45(11): 2758-2765
-
(1997)
IEEE Transactions on Signal Processing
, vol.45
, Issue.11
, pp. 2758-2765
-
-
Scholkopf, B.1
Sung, K.2
Burges, C.J.C.3
Girosi, F.4
Niyogi, P.5
Poggio, T.6
Vapnik, V.7
-
37
-
-
0030291988
-
An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images
-
Serpico SB, Bruzzone L, Roli F (1996) An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images. Pattern Recognition Letters 17: 1331-1341
-
(1996)
Pattern Recognition Letters
, vol.17
, pp. 1331-1341
-
-
Serpico, S.B.1
Bruzzone, L.2
Roli, F.3
-
38
-
-
0025206332
-
Probabilistic neural networks
-
Specht DF (1990) Probabilistic neural networks. Neural Networks 3(1): 109-118
-
(1990)
Neural Networks
, vol.3
, Issue.1
, pp. 109-118
-
-
Specht, D.F.1
-
41
-
-
0029541973
-
Forest mapping from multi-source satellite data using neural network classifiers - An experiment in Portugal
-
Wilkinson GG, Folving S, Kanellopoulos I, McCormick N, Fullerton K, Megier J (1995) Forest mapping from multi-source satellite data using neural network classifiers - an experiment in Portugal. Remote Sensing Reviews 12: 83-106
-
(1995)
Remote Sensing Reviews
, vol.12
, pp. 83-106
-
-
Wilkinson, G.G.1
Folving, S.2
Kanellopoulos, I.3
McCormick, N.4
Fullerton, K.5
Megier, J.6
-
42
-
-
0344073962
-
RBF nets, mixture experts, and Baysian Ying-Yang learning
-
Xu L (1998) RBF nets, mixture experts, and Baysian Ying-Yang learning. Neuro-computing 19: 223-257
-
(1998)
Neuro-computing
, vol.19
, pp. 223-257
-
-
Xu, L.1
-
43
-
-
0033101401
-
Verification of the non-parametric characteristics of back-propagation neural networks for image classification
-
Zhou W (1999) Verification of the non-parametric characteristics of back-propagation neural networks for image classification. IEEE Transactions on Geoscience and Remote Sensing 37(2): 771-779
-
(1999)
IEEE Transactions on Geoscience and Remote Sensing
, vol.37
, Issue.2
, pp. 771-779
-
-
Zhou, W.1
-
44
-
-
0030242069
-
Gaussian mixture density modeling, decomposition, and applications
-
Zhuang X, Huang Y, Zhao Y (1996) Gaussian mixture density modeling, decomposition, and applications. IEEE Transactions on Image Processing 5(9): 1293-1301
-
(1996)
IEEE Transactions on Image Processing
, vol.5
, Issue.9
, pp. 1293-1301
-
-
Zhuang, X.1
Huang, Y.2
Zhao, Y.3
|