메뉴 건너뛰기




Volumn 3614, Issue PART II, 2005, Pages 58-66

Feature selection for hyperspectral data classification using double parallel feedforward neural networks

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; ERRORS; NEURAL NETWORKS; PERSONNEL TRAINING; SPACE RESEARCH; SPECTROMETERS;

EID: 26944440879     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11540007_8     Document Type: Conference Paper
Times cited : (17)

References (25)
  • 1
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • Hughes, G.F.: On the mean accuracy of statistical pattern recognizers. IEEE Trans. Inform. Theory 14 (1968)
    • (1968) IEEE Trans. Inform. Theory , vol.14
    • Hughes, G.F.1
  • 2
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi, R., John, G.H.: Wrappers for feature subset selection. Artificial Intelligence 97 (1997) 273-324
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 4
    • 0036324671 scopus 로고    scopus 로고
    • The role of feature selection in artificial neural network applications
    • Kavzoglu, T., Mather, P.M.: The role of feature selection in artificial neural network applications. Int. J. Remote Sensing 23 (2002) 2919-2937
    • (2002) Int. J. Remote Sensing , vol.23 , pp. 2919-2937
    • Kavzoglu, T.1    Mather, P.M.2
  • 6
    • 0035391615 scopus 로고    scopus 로고
    • A new search algorithm for feature selection in hyperspectral remote sensing images
    • Serpico, S.B., Bruzzone, L.: A new search algorithm for feature selection in hyperspectral remote sensing images. IEEE Trans. Geosci. Remote Sensing 39 (2001) 1360-1367
    • (2001) IEEE Trans. Geosci. Remote Sensing , vol.39 , pp. 1360-1367
    • Serpico, S.B.1    Bruzzone, L.2
  • 7
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • Dash, M., Liu, H.: Feature selection for classification. Intelligent Data Analysis 1 (1997) 131-156
    • (1997) Intelligent Data Analysis , vol.1 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 9
    • 0029256585 scopus 로고
    • Determining input features for multilayer perceptrons
    • Belue, L.M., Bauer, K.W.: Determining input features for multilayer perceptrons. Neurocomputing 7 (1995) 111-121
    • (1995) Neurocomputing , vol.7 , pp. 111-121
    • Belue, L.M.1    Bauer, K.W.2
  • 10
    • 0342546478 scopus 로고    scopus 로고
    • Feature screening using signal-to-noise ratios
    • Bauer, K.W., Alsing, S.G., Greene, K.A.: Feature screening using signal-to-noise ratios. Neurocomputing 31 (2000) 29-44
    • (2000) Neurocomputing , vol.31 , pp. 29-44
    • Bauer, K.W.1    Alsing, S.G.2    Greene, K.A.3
  • 11
    • 0031245693 scopus 로고    scopus 로고
    • Feature analysis: Neural network and fuzzy set theoretic approaches
    • De, R.K., Pal, N.R., Pal, S.K.: Feature analysis: neural network and fuzzy set theoretic approaches. Pattern Recognition 30 (1997) 1579-1590
    • (1997) Pattern Recognition , vol.30 , pp. 1579-1590
    • De, R.K.1    Pal, N.R.2    Pal, S.K.3
  • 15
    • 0037983742 scopus 로고    scopus 로고
    • Data dimensionality reduction with application to simplifying rbf network structure and improving classification performance
    • Fu, X. J., Wang, L.P.: Data dimensionality reduction with application to simplifying rbf network structure and improving classification performance. IEEE Trans. Syst., Man, Cybern. B 33 (2003) 399-409
    • (2003) IEEE Trans. Syst., Man, Cybern. B , vol.33 , pp. 399-409
    • Fu, X.J.1    Wang, L.P.2
  • 24
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • Moller, M.F.: A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks 6 (1993) 525-533
    • (1993) Neural Networks , vol.6 , pp. 525-533
    • Moller, M.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.