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Volumn 5, Issue , 2004, Pages 3264-3267

Enhancing the performance of feature selection algorithms for classifying hyperspectral imagery

Author keywords

Feature selection; Hyperspectral remote sensing; Mutual information; Search algorithms

Indexed keywords

FEATURE SELECTION; HYPERSPECTRAL REMOTE SENSING; MUTUAL INFORMATION; SEARCH ALGORITHMS;

EID: 15944423916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (12)
  • 2
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    • An extension to multiclass cases of the Jeffreys-Matusita distance
    • Nov.
    • L. Bruzzone, F. Roli, and S. B. Serpico, "An extension to multiclass cases of the Jeffreys-Matusita distance." IEEE Trans. Geosci. Remote Sensing, vol. 33, pp. 1318-1321, Nov. 1995.
    • (1995) IEEE Trans. Geosci. Remote Sensing , vol.33 , pp. 1318-1321
    • Bruzzone, L.1    Roli, F.2    Serpico, S.B.3
  • 3
    • 0034651854 scopus 로고    scopus 로고
    • A tecnique for feature selection in multiclass cases
    • L. Bruzzone and S. B. Serpico, "A tecnique for feature selection in multiclass cases," Int. J. Remote Sensing, vol. 21, pp. 549-563, 2000.
    • (2000) Int. J. Remote Sensing , vol.21 , pp. 549-563
    • Bruzzone, L.1    Serpico, S.B.2
  • 4
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • M. Dash and H. Liu, "Feature selection for classification," Intelligent Data Analysis, vol. 1, pp. 131-156, 1997.
    • (1997) Intelligent Data Analysis , vol.1 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 5
    • 0024895461 scopus 로고
    • A note on genetic algorithms for largescale feature selection
    • W. Siedlecki and J. Sklansky, "A note on genetic algorithms for largescale feature selection," Pattern Recognit. Lett., vol. 10, pp. 335-347, 1989.
    • (1989) Pattern Recognit. Lett. , vol.10 , pp. 335-347
    • Siedlecki, W.1    Sklansky, J.2
  • 6
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • C. Shannon, "A Mathematical Theory of Communication," Bell System Technical Journal, vol. 27, pp. 379-423, 1948.
    • (1948) Bell System Technical Journal , vol.27 , pp. 379-423
    • Shannon, C.1
  • 10
    • 0019227654 scopus 로고
    • The use of prior probabilities in maximum likelihood classification of remote sensing data
    • A.H. Strahler, "The use of prior probabilities in maximum likelihood classification of remote sensing data," Remote sensing of Environment, 10,135-163,1980.
    • (1980) Remote Sensing of Environment , vol.10 , pp. 135-163
    • Strahler, A.H.1
  • 11
    • 0020642209 scopus 로고
    • A quantitative method to test for consistency and correctness in photointerpretation
    • R. G. Congalton and R. A. Mead, "A quantitative method to test for consistency and correctness in photointerpretation," Photogrammetric Engineering and Remote Sensing, 49(1):69-74, 1983.
    • (1983) Photogrammetric Engineering and Remote Sensing , vol.49 , Issue.1 , pp. 69-74
    • Congalton, R.G.1    Mead, R.A.2
  • 12
    • 84860105215 scopus 로고    scopus 로고
    • Dec. [Online]
    • LARS, (2003, Dec.). Documentation of Multispec [Online],Available: www.ece.purdue.edu/~biehl/MultiSpec/documentation.html.
    • (2003) Documentation of Multispec


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.