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Volumn 20, Issue 17, 1999, Pages 3345-3365

The performance of regularized discriminant analysis versus non-parametric classifiers applied to high-dimensional image classification

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; IMAGE ANALYSIS; MULTISPECTRAL SCANNERS; PROBLEM SOLVING; SET THEORY;

EID: 0033589469     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311699211372     Document Type: Article
Times cited : (10)

References (15)
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    • IMM Institute of Mathematical Modelling(IMM), Lyngby, Denmark
    • Conradsen, K., Nielsen, A., Nielsen, B., Pedersen, J., And Thyrsted, T., 1987, The use of structural and spectral enhancement of remote sensing data in ore prospecting-East Greenland case study. IMM Institute of Mathematical Modelling(IMM), The Technical University of Denmark, Lyngby, Denmark.
    • (1987) The Technical University of Denmark
    • Conradsen, K.1    Nielsen, A.2    Nielsen, B.3    Pedersen, J.4    Thyrsted, T.5
  • 3
    • 0343464134 scopus 로고    scopus 로고
    • Automatic estimation of the LVQ-1 parameters
    • Applications to multispectral image classification, on 25-30 Augus, Washington, DC: IEEE Computer Society Press
    • Cortuo, F. J., and Perez de la, N., 1996, Automatic estimation of the LVQ-1 parameters. Applications to multispectral image classification Proceedings of the 13 th International Conference on Pattern Recognition held in Vienna, on 25-30 August 1996(Washington, DC: IEEE Computer Society Press), pp. 346-350.
    • (1996) Proceedings of the 13 Th International Conference on Pattern Recognition Held in Vienna , pp. 346-350
    • Cortuo, F.J.1    Perez De La, N.2
  • 4
    • 0031127874 scopus 로고    scopus 로고
    • A comparative study of some non-parametric spectral classifiers. Applications to problems with high-overlapping training sets
    • Cortijo, F. J., And Perez De La, N., 1997a, A comparative study of some non-parametric spectral classifiers. Applications to problems with high-overlapping training sets. International Journal of Remote Sensing, 18, 1259-1275.
    • (1997) International Journal of Remote Sensing , vol.18 , pp. 1259-1275
    • Cortijo, F.J.1    Perez De La, N.2
  • 5
    • 85010495469 scopus 로고    scopus 로고
    • A comparative study of multispectral image classifiers: Applications to classification problems with high-dimensional data and high-overlapping spectral signatures. Simulation of high-dimensional images
    • DECSAI Universidad de Granada, SpainElectronic edition available at
    • Cortijo, F. J., And Perez De La, N., 1997b, A comparative study of multispectral image classifiers: Applications to classification problems with high-dimensional data and high-overlapping spectral signatures. Simulation of high-dimensional images. DECSAI Department of Computer Science and Artificial Intelligence(DECSAI), Universidad de Granada, Spain.(Electronic edition available at ftp://decsai.ugr.es/pub/tech_rep/diata/TR970304.ps.Z)
    • (1997) Department Ofcomputer Science and Artificial Intelligence(Decsai)
    • Cortijo, F.J.1    Perez De La, N.2
  • 8
    • 0018206147 scopus 로고
    • Biological and physical considerations in applying computer-aided analysis techniques to remote sensor data
    • edited by P. H. Swain and S. M. Davis(New York: McGraw Hill)
    • Hoffer, R. M., 1978, Biological and physical considerations in applying computer-aided analysis techniques to remote sensor data. In Remote Sensing: the quantitative approach, edited by P. H. Swain and S. M. Davis(New York: McGraw Hill), pp. 227-289.
    • (1978) Remote Sensing: The Quantitative Approach , pp. 227-289
    • Hoffer, R.M.1
  • 9
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
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    • Huohes, G.F.1
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    • Note on initial missclassification effects on the quadratic discriminant function
    • LachenBRuch, P. A., 1979, Note on initial missclassification effects on the quadratic discriminant function. Technometrics, 21, 129-132.
    • (1979) Technometrics , vol.21 , pp. 129-132
    • Lachenbruch, P.A.1
  • 14
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    • Fundamentals of pattern recognition in remote sensing
    • edited by P. H. Swain and S. M. 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. M. Davis(New York: McGraw Hill), pp. 136-187.
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    • Swain, P.H.1
  • 15
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    • Wilson, J. D., 1992, A comparison of procedures for classifying remotely-sensed data using simulated data sets incorporating autocorrelations between spectral responses. International Journal of Remote Sensing, 13, 2701-2725.
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    • Wilson, J.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.