Unsupervised unmixing of hyperspectral imagery

Midwest Symposium on Circuits and Systems

Volumn 2, Issue , 2006, Pages 337-341

  Masalmah, Yahya M ^a   Vélez Reyes, Miguel ^a  

^a UNIVERSITY OF PUERTO RICO   (Puerto Rico)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINED OPTIMIZATION; CONVERGENCE OF NUMERICAL METHODS; IMAGE PROCESSING; MATRIX ALGEBRA; SET THEORY;

GAUSS-SEIDEL METHODS; HYPERSPECTRAL IMAGERY;

CIRCUIT SIMULATION;

EID: 34748813973     PISSN: 15483746     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MWSCAS.2006.382281     Document Type: Conference Paper

References (7)

1. Keshava,N. and J. F. Mustrad, "A survey of spectral unmixing algorithms." In Lincoln Laboratory Journal, Vol. 14, No.1, pp. 55-78, 2003.
2. Lee, D. D. and H. S. Seung, "Learning the parts of objects by non-negative matrix mactorization." In Nature 401, pp.788-791, 1999.
3. Lee, Daniel D. and H. Sebastian Seung, "Algorithms for non-negative matrix factorization." In Advances in Neural Information Processing, pp. 556-562, 2001.
4. Lee, D. D. and H. S.Seung, "Unsupervised Learning by Convex and Conic Coding." In Proceedings of the Conference on Neural Information Processing Systems 9, pp. 515-521, 1997.
5. Donoho, David and Victoria Stodden,"When does Non-Negative Matrix Factorization give a correct Decomposition into Parts." In NIPS 2003 workshop on ICA: Sparse Representations in Signal Processing, Whistler, Canada.
6. Sajda, Paul, Shsuyan Du and Lucas Parra, "Nonnegative matrix factorization for rapid recovery of constituent spectra in Magnetic Resonance Chemical Shift Imaging of the Brain." In IEEE Transactions on medical Imaging, Vol. 23, Nol. 12, December 2004.
7. Lawson C. L. and Hanson R. J. Solving Least Square Problems. Prentice-Hall, Inc., 1974.