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Volumn 4, Issue 2, 1997, Pages 195-223

Evaluation of neural pattern classifiers for a remote sensing application

Author keywords

Back propagation; Classification of multispectral image data; Neural classifiers; Pixel by pixel classification; Sensitivity analysis

Indexed keywords


EID: 0008096229     PISSN: 10692665     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review
Times cited : (26)

References (18)
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  • 3
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    • Probabilistic interpretation of feed forward classification network outputs, with relationships to statistical pattern recognition
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    • Bridle, J. S. (1989) Probabilistic interpretation of feed forward classification network outputs, with relationships to statistical pattern recognition, in Fougelman-Soulie, F. and Hérault, J. (eds.): Neuro-Computing: Algorithms, Architectures and Applications, New York: Springer.
    • (1989) Neuro-Computing: Algorithms, Architectures and Applications
    • Bridle, J.S.1
  • 4
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    • Civco, D. L. (1993) Artificial neural networks for land-cover classification and mapping, International Journal of Geographical Information Systems, vol. 7(2), pp. 173-186.
    • (1993) International Journal of Geographical Information Systems , vol.7 , Issue.2 , pp. 173-186
    • Civco, D.L.1
  • 5
    • 0027595168 scopus 로고
    • Classification of land cover using optimized neural nets on SPOT data
    • Dreyer, P. (1993) Classification of land cover using optimized neural nets on SPOT data, Photogrammetric Engineering and Remote Sensing, vol. 59(5), pp. 617-621.
    • (1993) Photogrammetric Engineering and Remote Sensing , vol.59 , Issue.5 , pp. 617-621
    • Dreyer, P.1
  • 6
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    • in press
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    • Fischer, M.M.1    Gopal, S.2
  • 8
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    • Classification of multispectral remote sensing data using a backpropagation neural network
    • Heerman, P. D. and Khazenie, N. (1992) Classification of multispectral remote sensing data using a backpropagation neural network, IEEE Transactions on Geoscience and Remote Sensing, vol. 30(1), pp. 81-88.
    • (1992) IEEE Transactions on Geoscience and Remote Sensing , vol.30 , Issue.1 , pp. 81-88
    • Heerman, P.D.1    Khazenie, N.2
  • 9
    • 0025573206 scopus 로고
    • Artificial neural network classification using a minimal training set: Comparison to conventional supervised classification
    • Hepner, G. F., Logan, T., Ritter, N. and Bryant, N. (1990) Artificial neural network classification using a minimal training set: Comparison to conventional supervised classification, Photogrammetric Engineering and Remote Sensing, vol. 56 (4),pp. 469-473.
    • (1990) Photogrammetric Engineering and Remote Sensing , vol.56 , Issue.4 , pp. 469-473
    • Hepner, G.F.1    Logan, T.2    Ritter, N.3    Bryant, N.4
  • 10
    • 0024855681 scopus 로고
    • Classification of merged AVHRR and SMMR Arctic data with neural networks
    • Key, J., Maslanic, A. and Schweiger, A. J. (1989) Classification of merged AVHRR and SMMR Arctic data with neural networks, Photogrammetric Engineering and Remote Sensing, vol. 55(9), pp. 1331-1338.
    • (1989) Photogrammetric Engineering and Remote Sensing , vol.55 , Issue.9 , pp. 1331-1338
    • Key, J.1    Maslanic, A.2    Schweiger, A.J.3
  • 12
    • 0028277023 scopus 로고
    • Stock performance modeling using neural networks: A comparative study with regression models
    • Refenes, A. N., Zapranis, A. and Francis, G. (1994). Stock performance modeling using neural networks: A comparative study with regression models. Neural Networks, vol. 7(2), pp.375-388.
    • (1994) Neural Networks , vol.7 , Issue.2 , pp. 375-388
    • Refenes, A.N.1    Zapranis, A.2    Francis, G.3
  • 14
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    • Classification of multispectral image data by the binary diamond neural network and by nonparametric, pixel-by-pixel methods
    • Salu, Y. and Tilton, J. (1993) Classification of multispectral image data by the binary diamond neural network and by nonparametric, pixel-by-pixel methods, IEEE Transactions on Geoscience and Remote Sensing, vol. 31(3), pp. 606-617.
    • (1993) IEEE Transactions on Geoscience and Remote Sensing , vol.31 , Issue.3 , pp. 606-617
    • Salu, Y.1    Tilton, J.2
  • 16
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    • Book Review: John A. Hertz, Anders S. Krogh and Richard G. Palmer, Introduction to the Theory of Neural Computation
    • Weigend, A. S. (1993) Book Review: John A. Hertz, Anders S. Krogh and Richard G. Palmer, Introduction to the Theory of Neural Computation, Artificial Intelligence, vol. 62, pp.93-11.
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  • 17
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    • White, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.