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Volumn 7, Issue 1, 2014, Pages 247-256

Estimation of the number of endmembers using robust outlier detection method

Author keywords

Hyperspectral imagery; outlier detection method (ODM); signal processing; signal subspace

Indexed keywords

GEOMETRICAL PROPERTY; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL DATA; INTER QUARTILE RANGES; MINIMUM NOISE FRACTION; OUTLIER DETECTION; PRINCIPAL COMPONENT SPACE; SIGNAL SUB-SPACE;

EID: 84891836126     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2260135     Document Type: Article
Times cited : (34)

References (28)
  • 1
    • 17644371466 scopus 로고    scopus 로고
    • Hyperspectral image processing for automatic target detection applications
    • D. Manolakis, D.Marden, and G. A. Shaw, Hyperspectral image processing for automatic target detection applications, MIT Lincoln Lab. J., vol. 14, no. 1, pp. 9-116, 2003.
    • (2003) MIT Lincoln Lab. J. , vol.14 , Issue.1
    • Manolakis, D.1    Marden, D.2    Shaw, G.A.3
  • 2
    • 0026452709 scopus 로고
    • Quantitative sub-pixel spectral detection of targets in multispectral images
    • D. E. Sabol, J. B. Adams, and M. O. Smith, Quantitative sub-pixel spectral detection of targets in multispectral images, J. Geophys. Res., vol. 97, no. E2, pp. 2659-2672, 1992.
    • (1992) J. Geophys. Res. , vol.97 , Issue.E2 , pp. 2659-2672
    • Sabol, D.E.1    Adams, J.B.2    Smith, M.O.3
  • 4
    • 1842481516 scopus 로고    scopus 로고
    • Estimation of number of spectrally distinct signal sources in hyperspectral imagery
    • Mar
    • C.-I. Chang and Q. Du, Estimation of number of spectrally distinct signal sources in hyperspectral imagery, IEEE Trans. Geosci. Remote Sens., vol. 42, no. 3, pp. 608-619, Mar. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.3 , pp. 608-619
    • Chang, C.-I.1    Du, Q.2
  • 8
    • 84866234414 scopus 로고    scopus 로고
    • Empirical automatic estimation of the number of endmembers in hyperspectral images
    • Jan
    • B. Luo, J. Chanussot, S.Doute, and L. Zhang, Empirical automatic estimation of the number of endmembers in hyperspectral images, IEEE Geosci. Remote Sens. Lett., vol. 10, no. 1, pp. 24-28, Jan. 2013.
    • (2013) IEEE Geosci. Remote Sens. Lett. , vol.10 , Issue.1 , pp. 24-28
    • Luo, B.1    Chanussot, J.2    Doute, S.3    Zhang, L.4
  • 9
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • H. Akaike, A new look at the statistical model identification, IEEE Trans. Autom. Control, vol. 19, no. 6, pp. 716-723, 1974.
    • (1974) IEEE Trans. Autom. Control , vol.19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 10
    • 0018015137 scopus 로고
    • 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
  • 16
    • 84911837213 scopus 로고
    • Communication in the presence of noise
    • Jan
    • C. E. Shannon, Communication in the Presence of Noise, Proc. IRE, vol. 37, pp. 10-21, Jan. 1949.
    • (1949) Proc. IRE , vol.37 , pp. 10-21
    • Shannon, C.E.1
  • 19
    • 0023854011 scopus 로고
    • A transformation for ordering multispectral data in terms of images quality with implications for noise removal
    • Jan
    • A. A. Green, M. Berman, P. Switzer, and M. D. Craig, A transformation for ordering multispectral data in terms of images quality with implications for noise removal, IEEE Trans. Geosci. Remote Sens., vol. 26, no. 1, pp. 65-74, Jan. 1988.
    • (1988) IEEE Trans. Geosci. Remote Sens. , vol.26 , Issue.1 , pp. 65-74
    • Green, A.A.1    Berman, M.2    Switzer, P.3    Craig, M.D.4
  • 20
    • 0030186112 scopus 로고    scopus 로고
    • Reliably estimating the noise in AVIRIS hyperspectral imagers
    • R. E. Roger and J. F. Arnold, Reliably estimating the noise in AVIRIS hyperspectral imagers, Int. J. Remote Sens., vol. 17, no. 10, pp. 1951-1962, 1996.
    • (1996) Int. J. Remote Sens. , vol.17 , Issue.10 , pp. 1951-1962
    • Roger, R.E.1    Arnold, J.F.2
  • 25
    • 84891832847 scopus 로고    scopus 로고
    • [Online]. Available:
    • [Online]. Available: http://matlabhyperspec.sourceforge.net/
  • 27
    • 84891834898 scopus 로고    scopus 로고
    • [Online]. Available:
    • [Online]. Available: http://www.ehu.es/computationalintelligence/index. php/Endmember- Induction-Algorithms
  • 28
    • 77953786143 scopus 로고    scopus 로고
    • L1-endmembers: A robust endmember detection and spectral unmixing algorithm
    • Orlando, FL, USA
    • A. Zare and P. Gader, L1-endmembers: A robust endmember detection and spectral unmixing algorithm, in Proc. SPIE Defense, Security and Sensing, Orlando, FL, USA, 2010, vol. 7695.
    • (2010) Proc. SPIE Defense, Security and Sensing , vol.7695
    • Zare, A.1    Gader, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.