Restricted total least squares solutions for hyperspectral imagery

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2000, Pages 624-627

  Sirlceci, Birsen ^a   Brady, David ^a   Burman, Jerry ^a  

^a NORTHEASTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL CAPACITY; ERRORS; IMAGE PROCESSING; PIXELS; REMOTE SENSING; SIGNAL PROCESSING; SPECTROSCOPY; SPECTRUM ANALYSIS; SURFACE RECONSTRUCTION; CLUTTER (INFORMATION THEORY); EDGE DETECTION; ERROR ANALYSIS; FEATURE EXTRACTION; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; SPURIOUS SIGNAL NOISE; VECTORS;

DETECTION AND LOCALIZATION; HYPER-SPECTRAL IMAGERIES; LEAST SQUARE APPROACH; LINEAR SPECTRAL UNMIXING; OBSERVATIONAL ERRORS; REFERENCE VARIATIONS; RELATIVE CONCENTRATION; SPECTRAL ANALYSIS TECHNIQUES;

LEAST SQUARES APPROXIMATIONS; IMAGE PROCESSING;

HYPERSPECTRAL IMAGE PROCESSING; RESTRICTED TOTAL LEAST SQUARES;

EID: 0033693391     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2000.862059     Document Type: Conference Paper

References (4)

1. Gene h. Golub and charles f. Van loan, An analysis of the total least squares problem, Siam J. Numer. Anal., vol.17, no.6, December 1980.
2. Charles L. Lawson, Richard J. Hanson, Solving Least Squares Problems, Prentice-Hall Series, 1974.
3. Ben noble, james w. Daniel, Applied Linear Algebra, Prentice-Hall, 1998.
4. J.J. Settle, N.A. Drake, Linear mixing and the estimation of ground cover proportions, Int.J.Remote Sensing, vol.14, no.6, 1993.