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Volumn 18, Issue 4, 1997, Pages 727-740

Feature extraction for multisource data classification with artificial neural networks

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; DECISION THEORY; NEURAL NETWORKS; REMOTE SENSING;

EID: 0031106245     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311697218728     Document Type: Article
Times cited : (100)

References (18)
  • 3
    • 0025453627 scopus 로고
    • Neural network approaches versus statistical methods in classification of multisource remote sensing data
    • Benediktsson, J. A., Swain, P. H., and Ersoy, O. K., 1990, Neural network approaches versus statistical methods in classification of multisource remote sensing data. I.E.E.E. Transactions on Geoscience and Remote Sensing, 28, 540-552.
    • (1990) I.E.E.E. Transactions on Geoscience and Remote Sensing , vol.28 , pp. 540-552
    • Benediktsson, J.A.1    Swain, P.H.2    Ersoy, O.K.3
  • 4
    • 0027789411 scopus 로고
    • Conjugate-gradient neural networks in classification of multisource and very-high-dimensional data
    • Benediktsson, J. A., Swain, P. H., and Ersoy, O. K., 1993, Conjugate-gradient neural networks in classification of multisource and very-high-dimensional data. International Journal of Remote Sensing, 14, 2883-2903.
    • (1993) International Journal of Remote Sensing , vol.14 , pp. 2883-2903
    • Benediktsson, J.A.1    Swain, P.H.2    Ersoy, O.K.3
  • 6
    • 3743080189 scopus 로고
    • The adaptive feature extraction nearest neighbour classi® er
    • Hillsdale, New Jersey: Lawrence Erlbaum
    • Fakhr, W., Kame L. M., and ELmasry, M. I., 1994, The adaptive feature extraction nearest neighbour classi® er. Proceedings of the 1994 World Congress on Neural Networks, 3 (Hillsdale, New Jersey: Lawrence Erlbaum), pp. 123-128.
    • (1994) Proceedings of the 1994 World Congress on Neural Networks , pp. 123-128
    • Fakhr, W.1    Kame, L.M.2    Elmasry, M.I.3
  • 9
    • 0029305112 scopus 로고
    • Distortion tolerant pattern recognition based on selforganizing feature extraction
    • Lampinen, J., and Oja, E., 1995, Distortion tolerant pattern recognition based on selforganizing feature extraction. I.E.E.E. Transactions on Neural Networks, 6, 539-547.
    • (1995) I.E.E.E. Transactions on Neural Networks , vol.6 , pp. 539-547
    • Lampinen, J.1    Oja, E.2
  • 14
    • 3743087915 scopus 로고
    • Reduction of input nodes for shift invariant second order neural networks using principal component analysis (PCA)
    • Hillsdale, New Jersey: Lawrence Erlbaum
    • Lee, B., Kim, D., Cho, Y., Lee, H., and Hwang, H., 1994, Reduction of input nodes for shift invariant second order neural networks using principal component analysis (PCA). Proceedings of the 1994 World Congress on Neural Networks, 3 (Hillsdale, New Jersey: Lawrence Erlbaum), pp. 144-149.
    • (1994) Proceedings of the 1994 World Congress on Neural Networks , vol.3 , pp. 144-149
    • Lee, B.1    Kim, D.2    Cho, Y.3    Lee, H.4    Hwang, H.5
  • 15
    • 0029270805 scopus 로고
    • Artificial neural networks for feature extraction and multivariate data projection
    • Mao, J., and Jain, A. K., 1995, Artificial neural networks for feature extraction and multivariate data projection. I.E.E.E. Transactions on Neural Networks, 6, 296-317.
    • (1995) I.E.E.E. Transactions on Neural Networks , vol.6 , pp. 296-317
    • Mao, J.1    Jain, A.K.2
  • 18
    • 0018203420 scopus 로고
    • Fundamentals of pattern recognition in remote sensing
    • edited by P. H. Swain and S. Davis (New York: McGraw-Hill
    • Swain, P. H., 1978, Fundamentals of pattern recognition in remote sensing. In Remote Sensing: The Quantitative Approach, edited by P. H. Swain and S. Davis (New York: McGraw-Hill) pp. 136-187.
    • (1978) Remote Sensing: The Quantitative Approach , pp. 136-187
    • Swain, P.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.