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Volumn , Issue , 2008, Pages 1198-1202

A new approach to band clustering and selection for hyperspectral imagery

Author keywords

[No Author keywords available]

Indexed keywords

BAND SELECTION; BASIC IDEA; COMPARATIVE STUDIES; ENDMEMBER EXTRACTION; GEOMETRICAL CHARACTERISTICS; HYPERSPECTRAL IMAGERY; IMAGE DATA; INTRA-CLUSTER; NEW APPROACHES; OPTIMAL NUMBER; VERTEX COMPONENT ANALYSIS; VIRTUAL DIMENSIONALITY;

EID: 67249128806     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOSP.2008.4697345     Document Type: Conference Paper
Times cited : (6)

References (10)
  • 1
    • 67249094768 scopus 로고    scopus 로고
    • Available
    • [Online]. Available: http://speclab.cr.usgs.gov/cuprite.html.
  • 3
    • 0033224770 scopus 로고    scopus 로고
    • A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification
    • Nov
    • C.-I. Chang, Q. Du, T.-L. Sun, and M. L. G. Althouse. A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 37:2631-2641, Nov. 1999.
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , pp. 2631-2641
    • Chang, C.-I.1    Du, Q.2    Sun, T.-L.3    Althouse, M.L.G.4
  • 5
    • 84923058832 scopus 로고    scopus 로고
    • Band selection using independent component analysis for hyperspectral image processing
    • 0:93
    • H. Du, H. Qi, X. Wang, R. Ramanath, and W. E. Snyder. Band selection using independent component analysis for hyperspectral image processing. aipr, 0:93, 2003.
    • (2003) aipr
    • Du, H.1    Qi, H.2    Wang, X.3    Ramanath, R.4    Snyder, W.E.5
  • 7
    • 0031997059 scopus 로고    scopus 로고
    • Supervised classification in high dimensional space: Geometrical, statistical, and asymptotical properties of multivariate data
    • February
    • J. Luis and D. Landgrebe. Supervised classification in high dimensional space: Geometrical, statistical, and asymptotical properties of multivariate data. IEEE Trans. on System, Man, and Cybernetics, 28:39-54, February 1998.
    • (1998) IEEE Trans. on System, Man, and Cybernetics , vol.28 , pp. 39-54
    • Luis, J.1    Landgrebe, D.2
  • 9
    • 16444373735 scopus 로고    scopus 로고
    • Vertex component analysis: A fast algorithm to unmix hyperspectral data
    • April
    • J. Nascimento and J. Dias. Vertex component analysis: a fast algorithm to unmix hyperspectral data. Geoscience and Remote Sensing, IEEE Transactions on, 43(4):898-910, April 2005.
    • (2005) Geoscience and Remote Sensing, IEEE Transactions on , vol.43 , Issue.4 , pp. 898-910
    • Nascimento, J.1    Dias, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.