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Volumn , Issue , 2009, Pages

Kernel-based linear spectral mixture analysis for hyperspectral image classification

Author keywords

Fully constrained least squares (FCLS); Least squares orthogonal subspace projection (LSOSP); Linear spectral unmixing (LSU); Non negativity constrained least squares (NCLS); Virtual dimensionality (VD)

Indexed keywords

CONSTRAINED LEAST SQUARES; LEAST SQUARE; LINEAR SPECTRAL UNMIXING; NON-NEGATIVITY; ORTHOGONAL SUBSPACE PROJECTION; VIRTUAL DIMENSIONALITY;

EID: 72049084762     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2009.5289096     Document Type: Conference Paper
Times cited : (10)

References (10)
  • 2
    • 0028467206 scopus 로고
    • Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
    • July
    • J.C. Harsanyi and C.-I Chang, "Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach," IEEE Trans. Geosci. Remote Sensing, vol. 32, no. 4, pp. 779-785, July, 1994.
    • (1994) IEEE Trans. Geosci. Remote Sensing , vol.32 , Issue.4 , pp. 779-785
    • Harsanyi, J.C.1    Chang, C.-I.2
  • 3
    • 0030822321 scopus 로고    scopus 로고
    • A posteriori least squares orthogonal subspace projection approach to weak signature extraction and detection
    • January
    • T.M. Tu, C.-H. Chen and C.-I Chang, "A posteriori least squares orthogonal subspace projection approach to weak signature extraction and detection," IEEE Trans. on Geoscience and Remote Sensing, vol. 35, no. 1,pp. 127-139, January 1997.
    • (1997) IEEE Trans. on Geoscience and Remote Sensing , vol.35 , Issue.1 , pp. 127-139
    • Tu, T.M.1    Chen, C.-H.2    Chang, C.-I.3
  • 4
    • 0033719885 scopus 로고    scopus 로고
    • Constrained subpixel detection for remotely sensed images
    • May
    • C.-I Chang and D. Heinz, "Constrained subpixel detection for remotely sensed images," IEEE Trans. on Geoscience and Remote Sensing, vol. 38, no. 3, pp. 1144-1159, May 2000.
    • (2000) IEEE Trans. on Geoscience and Remote Sensing , vol.38 , Issue.3 , pp. 1144-1159
    • Chang, C.-I.1    Heinz, D.2
  • 5
    • 0035273728 scopus 로고    scopus 로고
    • Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery
    • D. Heinz and C.-I Chang, "Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery," IEEE Trans. Geosci. Remote Sensing, vol. 39, no. 3, pp. 529-545, 2001.
    • (2001) IEEE Trans. Geosci. Remote Sensing , vol.39 , Issue.3 , pp. 529-545
    • Heinz, D.1    Chang, C.-I.2
  • 6
    • 29044445372 scopus 로고    scopus 로고
    • Kernel orthogonal subspace projection for hyperspectral signal classification
    • Dec
    • H. Kwon and N.M. Nasrabadi, "Kernel orthogonal subspace projection for hyperspectral signal classification," IEEE Trans. on Geoscience and Remote Sensing, vol. 43, no. 12, pp. 2952-2962, Dec. 2005.
    • (2005) IEEE Trans. on Geoscience and Remote Sensing , vol.43 , Issue.12 , pp. 2952-2962
    • Kwon, H.1    Nasrabadi, N.M.2
  • 9
    • 72049125979 scopus 로고    scopus 로고
    • http://speclab.cr.usgs.gov/cuprite.html.
  • 10
    • 72049087378 scopus 로고    scopus 로고
    • J. Broadwater, R. Chellappa, A. Banerjee, P. Burlina, Kernel fully constrained least squares abundance estimates Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International Issue, 23-28 July 2007 Page(s):4041-4044
    • J. Broadwater, R. Chellappa, A. Banerjee, P. Burlina," Kernel fully constrained least squares abundance estimates" Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International Volume, Issue, 23-28 July 2007 Page(s):4041-4044


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.