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Volumn 40, Issue 12, 2002, Pages 2692-2699

A model-based mixture-supervised classification approach in hyperspectral data analysis

Author keywords

Covariance estimator; Expectation maximization; Gaussian mixtures

Indexed keywords

DATA REDUCTION; ERROR ANALYSIS; MAXIMUM LIKELIHOOD ESTIMATION; PATTERN RECOGNITION; PROBABILITY DENSITY FUNCTION; STATISTICAL METHODS;

EID: 0036991339     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2002.807010     Document Type: Article
Times cited : (60)

References (14)
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    • Honolulu, HI
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    • (2000) Proc. IGARSS
    • Landgrebe, D.A.1
  • 3
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    • A method for estimating the number of components in a normal mixture density function
    • Honolulu, HI
    • J. P. Hoffbeck and D. A. Landgrebe, "A method for estimating the number of components in a normal mixture density function," in Proc. IGARSS, Honolulu, HI, 2000.
    • (2000) Proc. IGARSS
    • Hoffbeck, J.P.1    Landgrebe, D.A.2
  • 5
    • 0030189750 scopus 로고    scopus 로고
    • Covariance matrix estimation and classification with limited training data
    • July
    • J. P. Hoffbeck and D. A. Landgrebe, "Covariance matrix estimation and classification with limited training data," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, pp. 763-767, July 1996.
    • (1996) IEEE Trans. Pattern Anal. Machine Intell. , vol.18 , pp. 763-767
    • Hoffbeck, J.P.1    Landgrebe, D.A.2
  • 7
    • 0036544159 scopus 로고    scopus 로고
    • A covariance estimator for small sample size classification problems and its application to feature extraction
    • Apr
    • B.-C.Bor-Chen Kuo and D. A.David A. Landgrebe, "A covariance estimator for small sample size classification problems and its application to feature extraction," IEEE Trans. Geosci. Remote Sensing, vol. 40, pp. 814-819, Apr. 2002.
    • (2002) IEEE Trans. Geosci. Remote Sensing , vol.40 , pp. 814-819
    • Bor-Chen Kuo, B.-C.1    Landgrebe, D.A.D.A.2
  • 9
    • 0036402348 scopus 로고    scopus 로고
    • Hyperspectral data classification using nonparametric weighted feature extraction
    • Toronto, ON, Canada
    • B.-C.Bor-Chen Kuo and D. A.David A. Landgrebe, "Hyperspectral data classification using nonparametric weighted feature extraction," in Proc. IGARSS, Toronto, ON, Canada, 2002.
    • (2002) Proc. IGARSS
    • Bor-Chen Kuo, B.-C.1    Landgrebe, D.A.D.A.2
  • 12
    • 0032269108 scopus 로고    scopus 로고
    • How many clusters? Which clustering method? Answers via model-based cluster analysis
    • C. Fraley and A. E. Raftery, "How many clusters? Which clustering method? Answers via model-based cluster analysis," Comput. J., vol. 41, pp. 578-588, 1998.
    • (1998) Comput. J. , vol.41 , pp. 578-588
    • Fraley, C.1    Raftery, A.E.2
  • 13
    • 0035998835 scopus 로고    scopus 로고
    • Model-based clustering, discriminant analysis, and density estimation
    • _, "Model-based clustering, discriminant analysis, and density estimation," J. Amer. Stat. Assoc., vol. 97, pp. 611-631, 2002.
    • (2002) J. Amer. Stat. Assoc. , vol.97 , pp. 611-631
  • 14
    • 84988790765 scopus 로고    scopus 로고
    • http://dynamo.ecn.purdue.edu/̃landgreb/publications.html.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.