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Volumn , Issue , 2014, Pages 1582-1586

Robust minimum volume simplex analysis for hyperspectral unmixing

Author keywords

chance constraints; endmember identification; Hyperspectral imaging; minimum volume simplex analysis (MVSA); spectral unmixing

Indexed keywords

FACTORIZATION; SPECTROSCOPY;

EID: 84911868957     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (17)
  • 4
    • 0032710687 scopus 로고    scopus 로고
    • Confidence in linear spectral unmixing of single pixels
    • M. Petrou and P. G. Foschi, "Confidence in linear spectral unmixing of single pixels, " IEEE Trans. Geosci. and Remote Sens., vol. 37, pp. 624-626, 1999.
    • (1999) IEEE Trans. Geosci. and Remote Sens , vol.37 , pp. 624-626
    • Petrou, M.1    Foschi, P.G.2
  • 5
    • 31344442843 scopus 로고    scopus 로고
    • On the effect of variable endmember spectra in the linear mixture model
    • J. Settle, "On the effect of variable endmember spectra in the linear mixture model, " IEEE Transactions on Geoscience and Remote Sensing, vol. 44, pp. 389-396, 2006.
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , pp. 389-396
    • Settle, J.1
  • 7
    • 33847733865 scopus 로고    scopus 로고
    • Endmember extraction from highly mixed data using minimum volume constrained nonnegative matrix factorization
    • L. Miao and H. Qi, "Endmember extraction from highly mixed data using minimum volume constrained nonnegative matrix factorization, " IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 3, pp. 765-777, 2007.
    • (2007) IEEE Transactions on Geoscience and Remote Sensing , vol.45 , Issue.3 , pp. 765-777
    • Miao, L.1    Qi, H.2
  • 12
    • 80455174036 scopus 로고    scopus 로고
    • Chance-constrained robust minimum-volume enclosing simplex algorithm for hyperspectral unmixing
    • Nov
    • A. Ambikapathi, T.-H. Chan, W.-K. Ma, and C.-Y. Chi, "Chance-constrained robust minimum-volume enclosing simplex algorithm for hyperspectral unmixing, " IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 11, pp. 4194-4209, Nov 2011.
    • (2011) IEEE Transactions on Geoscience and Remote Sensing , vol.49 , Issue.11 , pp. 4194-4209
    • Ambikapathi, A.1    Chan, T.-H.2    Ma, W.-K.3    Chi, C.-Y.4
  • 15
    • 0035392132 scopus 로고    scopus 로고
    • Hyperspectral subpixel target detection using linear mixing model
    • D. Manolakis, C. Siracusa, and G. Shaw, "Hyperspectral subpixel target detection using linear mixing model, " IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, p. 13921709, 2001.
    • (2001) IEEE Trans. Geosci. Remote Sens , vol.39 , Issue.7 , pp. 13921709
    • Manolakis, D.1    Siracusa, C.2    Shaw, G.3
  • 16
    • 0033310314 scopus 로고    scopus 로고
    • N-FINDR: An algorithm for fast autonomous spectral end-member determination in hyperspectral data
    • M. E. Winter, "N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data, " Proc. SPIE Image Spectrometry V, vol. 3753, pp. 266-277, 2003.
    • (2003) Proc. SPIE Image Spectrometry v , vol.3753 , pp. 266-277
    • Winter, M.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.