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Volumn , Issue , 2007, Pages 3225-3228

Hyperspectral signal subspace estimation

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION MATRICES; HYPERSPECTRAL IMAGE; SIGNAL SUBSPACE;

EID: 70350611305     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4423531     Document Type: Conference Paper
Times cited : (36)

References (11)
  • 1
    • 0036564131 scopus 로고    scopus 로고
    • Spectral imaging system analytical model for subpixel object detection
    • J. P. Kerekes and J. E. Baum, "Spectral imaging system analytical model for subpixel object detection," IEEE Trans. Geosci. Remote Sensing, vol. 40, no. 5, pp. 1088-1101, 2002.
    • (2002) IEEE Trans. Geosci. Remote Sensing , vol.40 , Issue.5 , pp. 1088-1101
    • Kerekes, J.P.1    Baum, J.E.2
  • 2
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • G. Schwarz, "Estimating the dimension of a model," Annals of Statistics, vol. 6, pp. 461-464, 1978.
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 3
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    • Modeling by shortest data description
    • J. Rissanen, "Modeling by shortest data description," Automatica, vol. 14, pp. 465-471, 1978.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 4
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • H. Akaike, "A new look at the statistical model identification, " IEEE Trans. Automat. Contr., vol. 19, no. 6, pp. 716-723, 1974.
    • (1974) IEEE Trans. Automat. Contr , vol.19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 5
    • 0009055256 scopus 로고
    • Determining the number and identity of spectral endmembers: An integrated approach using neyman-pearson eigenthresholding and iterative constrained rms error minimization
    • J. Harsanyi, W. Farrand, and C.-I. Chang, "Determining the number and identity of spectral endmembers: An integrated approach using neyman-pearson eigenthresholding and iterative constrained rms error minimization," in Proc. 9th Thematic Conf. Geologic Remote Sensing, 1993.
    • (1993) Proc. 9th Thematic Conf. Geologic Remote Sensing
    • Harsanyi, J.1    Farrand, W.2    Chang, C.-I.3
  • 6
    • 1842481516 scopus 로고    scopus 로고
    • Estimation of number of spectrally distinct signal sources in hyperspectral imagery
    • C.-I. Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Trans. Geosci. Remote Sensing, vol. 42, no. 3, pp. 608-619, 2004.
    • (2004) IEEE Trans. Geosci. Remote Sensing , vol.42 , Issue.3 , pp. 608-619
    • Chang, C.-I.1    Du, Q.2
  • 8
    • 0030186112 scopus 로고    scopus 로고
    • Reliably estimating the noise in aviris hyperspectral imagers
    • R. Roger and J. Arnold, "Reliably estimating the noise in aviris hyperspectral imagers," Int. J. Rem. Sens., vol. 17, no. 10, pp. 1951-1962, 1996.
    • (1996) Int. J. Rem. Sens , vol.17 , Issue.10 , pp. 1951-1962
    • Roger, R.1    Arnold, J.2
  • 9
    • 39049084997 scopus 로고    scopus 로고
    • R. N. Clark, G. A. Swayze, A. Gallagher, T. V. King, and W. M. Calvin, The U.S. geological survey digital spectral library: Version 1: 0.2 to 3.0 μm, U.S. Geological Survey, Open File Report 93-592, 1993.
    • R. N. Clark, G. A. Swayze, A. Gallagher, T. V. King, and W. M. Calvin, "The U.S. geological survey digital spectral library: Version 1: 0.2 to 3.0 μm," U.S. Geological Survey, Open File Report 93-592, 1993.
  • 10
    • 39049104072 scopus 로고    scopus 로고
    • T. Minka, Estimating a dirichlet distribution, M.I.T., Tech. Rep., 2000.
    • T. Minka, "Estimating a dirichlet distribution," M.I.T., Tech. Rep., 2000.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.