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Volumn 1, Issue , 2005, Pages 510-513

A time-efficient clustering method for pure class selection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA PROCESSING; FEATURE EXTRACTION; IMAGE ANALYSIS; MAPS; MEASUREMENT THEORY; ROBUSTNESS (CONTROL SYSTEMS);

EID: 33745699833     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2005.1526223     Document Type: Conference Paper
Times cited : (11)

References (12)
  • 1
    • 12144289543 scopus 로고    scopus 로고
    • A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data
    • A. Plaza, P. Martinez, R. Perez, and J. Plaza, "A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data," IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 3, pp. 650-663, 2004.
    • (2004) IEEE Transactions on Geoscience and Remote Sensing , vol.42 , Issue.3 , pp. 650-663
    • Plaza, A.1    Martinez, P.2    Perez, R.3    Plaza, J.4
  • 2
    • 0028184024 scopus 로고
    • Sub-pixel land cover composition estimation using a linear mixture model and fuzzy membership functions
    • G. Foody and D. Cox, "Sub-pixel land cover composition estimation using a linear mixture model and fuzzy membership functions," International Journal of Remote Sensing, vol. 15, pp. 619-631, 1994.
    • (1994) International Journal of Remote Sensing , vol.15 , pp. 619-631
    • Foody, G.1    Cox, D.2
  • 5
    • 0036762725 scopus 로고    scopus 로고
    • Spatial/spectral endmember extraction by multidimensional morphological operations
    • A. Plaza, P. Martinez, R. Perez, and J. Plaza, "Spatial/spectral endmember extraction by multidimensional morphological operations," IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 9, pp. 2025-2041, 2002.
    • (2002) IEEE Transactions on Geoscience and Remote Sensing , vol.40 , Issue.9 , pp. 2025-2041
    • Plaza, A.1    Martinez, P.2    Perez, R.3    Plaza, J.4
  • 8
    • 0003770145 scopus 로고
    • Isodata: A novel method of data analysis and pattern classification
    • Stanford Research Institute, Menlo Park, CA
    • G. Ball and D. Hall, "Isodata: a novel method of data analysis and pattern classification," Stanford Research Institute, Menlo Park, CA, Tech. Rep., 1987.
    • (1987) Tech. Rep.
    • Ball, G.1    Hall, D.2
  • 9
    • 0003410791 scopus 로고
    • ser. Springer Series in Information Sciences. Berlin, Heidelberg: Springer, (Third Extended Edition 2001)
    • T. Kohonen, Self-Organizing Maps, ser. Springer Series in Information Sciences. Berlin, Heidelberg: Springer, 1995, (Third Extended Edition 2001).
    • (1995) Self-organizing Maps
    • Kohonen, T.1
  • 11
    • 33745720379 scopus 로고    scopus 로고
    • from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.
    • J. M. Chen and X. Geng, "Boreas rss-07 landsat tm lai images of the ssa and nsa. data set." Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A., 1999.
    • (1999) Boreas Rss-07 Landsat Tm Lai Images of the Ssa and Nsa. Data Set
    • Chen, J.M.1    Geng, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.