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Volumn 22, Issue 9, 1996, Pages 969-979

Neural network architectures for the classification of temporal image sequences

Author keywords

LANDSAT TM; Multi temporal; Neural networks; Remote sensing

Indexed keywords

CLASSIFICATION; IMAGE ANALYSIS; LAND USE; LANDSAT TM; NEURAL NETWORK; REMOTE SENSING;

EID: 0030430491     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-3004(96)00035-0     Document Type: Article
Times cited : (22)

References (22)
  • 1
  • 3
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • Cybenko, G., 1989, Approximation by superpositions of a sigmoidal function: Mathematics of Control, Signals and Systems, v. 2, p. 303-314.
    • (1989) Mathematics of Control, Signals and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 7
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • Funahashi, K., 1989, On the approximate realization of continuous mappings by neural networks: Neural Networks, v. 2, p. 183-192.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.1
  • 8
    • 0043065852 scopus 로고
    • Unpub. undergraduate thesis, School Elec. Computer Engin., Curtin Univ., Bentley, Western Australia, 39 p.
    • German, G. W. H., 1993, Modelling continuous functions with functional link networks: Unpub. undergraduate thesis, School Elec. Computer Engin., Curtin Univ., Bentley, Western Australia, 39 p.
    • (1993) Modelling Continuous Functions with Functional Link Networks
    • German, G.W.H.1
  • 9
    • 0027335362 scopus 로고
    • Power series and neural-net computing
    • Kalveram, K. T., 1993, Power series and neural-net computing: Neurocomputing, v. 5, p. 165-174.
    • (1993) Neurocomputing , vol.5 , pp. 165-174
    • Kalveram, K.T.1
  • 10
    • 0010362222 scopus 로고
    • Classification of LANDSAT image data and its evaluation using a neural network approach
    • Kamata, S., Eason, A. O., and Kawaguchi, E., 1991, Classification of LANDSAT image data and its evaluation using a neural network approach: Trans. Soc. Instrument and Control Engineering, v. 27, p. 1302-1306.
    • (1991) Trans. Soc. Instrument and Control Engineering , vol.27 , pp. 1302-1306
    • Kamata, S.1    Eason, A.O.2    Kawaguchi, E.3
  • 11
    • 0027797757 scopus 로고
    • A neural net classifier for multi-temporal LANDSAT images using spatial and spectral information
    • IEEE, San Francisco
    • Kamata, S., and Kawaguchi, E., 1993, A neural net classifier for multi-temporal LANDSAT images using spatial and spectral information: Proc. 1993 International Joint Conference on Neural Networks, IEEE, San Francisco, v. 3, p. 2199-2202.
    • (1993) Proc. 1993 International Joint Conference on Neural Networks , vol.3 , pp. 2199-2202
    • Kamata, S.1    Kawaguchi, E.2
  • 12
    • 0027189305 scopus 로고
    • On the complexity of approximating mappings using feedforward networks
    • Koiran, P., 1993, On the complexity of approximating mappings using feedforward networks: Neural Networks, v. 6, p. 649-653.
    • (1993) Neural Networks , vol.6 , pp. 649-653
    • Koiran, P.1
  • 14
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • Moller, M. F., 1993, A scaled conjugate gradient algorithm for fast supervised learning: Neural Networks, v. 6, p. 525-533.
    • (1993) Neural Networks , vol.6 , pp. 525-533
    • Moller, M.F.1
  • 16
    • 0000882117 scopus 로고
    • Least squares modifications with inverse factorizations: Parallel implications
    • Pan, C. T., and Plemmons, R. J., 1989, Least squares modifications with inverse factorizations: parallel implications: Jour. Computational and Applied Mathematics, v. 27, p. 109-127.
    • (1989) Jour. Computational and Applied Mathematics , vol.27 , pp. 109-127
    • Pan, C.T.1    Plemmons, R.J.2
  • 19
    • 0027609401 scopus 로고
    • Use of weighting functions for focusing of learning in artificial neural networks
    • Sanzogni, L., and Vaccaro, J. A., 1993, Use of weighting functions for focusing of learning in artificial neural networks: Neurocomputing, v. 5, p. 165-174.
    • (1993) Neurocomputing , vol.5 , pp. 165-174
    • Sanzogni, L.1    Vaccaro, J.A.2
  • 20
    • 0002119686 scopus 로고
    • Neural network implementations in SAS software
    • Cary, North Carolina, SAS Institute Inc.
    • Sarle, W., 1994a, Neural network implementations in SAS software: Proc. 19th Annual SAS Users Group Intern. Conf., Cary, North Carolina, SAS Institute Inc., p. 1551-1573.
    • (1994) Proc. 19th Annual SAS Users Group Intern. Conf. , pp. 1551-1573
    • Sarle, W.1
  • 21
    • 0002997755 scopus 로고
    • Neural networks and statistical models
    • Cary, North Carolina, SAS Institute
    • Sarle, W., 1994b, Neural networks and statistical models: Proc. 19th Annual SAS Users Group Intern. Conf., Cary, North Carolina, SAS Institute, p. 1538-1550.
    • (1994) Proc. 19th Annual SAS Users Group Intern. Conf. , pp. 1538-1550
    • Sarle, W.1
  • 22
    • 0025227507 scopus 로고
    • Iterative improvement of Gaussian classifier
    • Yau, H., and Manary, M., 1990, Iterative improvement of Gaussian classifier: Neural Networks, v. 3, p. 437-443.
    • (1990) Neural Networks , vol.3 , pp. 437-443
    • Yau, H.1    Manary, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.