Hyperspectral image unmixing via alternating projected subgradients

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2007, Pages 1164-1168

  Zymnis, A ^a   Kim, S J ^a   Skaf, J ^a   Parente, M ^a   Boyd, S ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HYPER-SPECTRAL IMAGING; IMAGE SPECTRUM; MIXING COEFFICIENTS; NON CONVEX OPTIMIZATION PROBLEM; NON-NEGATIVE MATRICES; NONNEGATIVE BASES; PROBLEM BASED; SPECTRAL UNMIXING; SUBGRADIENT DESCENT; SUBGRADIENTS;

MIXING;

EID: 50249160592     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2007.4487406     Document Type: Conference Paper

References (19)

1. D. Lee and S. Seung, "Learning the parts of objects by non-negative matrix factorization," Nature, vol. 401, pp. 788-791, 1999.
2. F. Sha, L. Saul, and D. Lee, "Multiplicative updates for nonnegative quadratic programming in support vector machines," in Advances in Neural Information Processing Systems 15, S. Becker, S. Thrun, and K. Obermayer, Eds. Cambridge, MA: MIT Press, 2003, pp. 1065-1073.
3. Y. Gao and G. Church, "Improving molecular cancer class discovery through sparse non-negative matrix factorization," Bioinformatics, vol. 21, pp. 3970-3975, 2005.
4. F. Sha and L. Saul, "Real-time pitch determination of one or more voices by nonnegative matrix factorization," in Advances in Neural Information Processing Systems 17, L. Saul, Y. Weiss, and L. Bottou, Eds. Cambridge, MA: MIT Press, 2005, pp. 1233-1240.
5. M. Berry, M. Browne, A. Langvillc, V. Pauca, and R. Plemmons, "Algorithms and applications for approximate nonnegative matrix factorization," 2006, elsevier Preprint.
6. D. Lee and S. Seung, "Algorithms for non-negative matrix factorization," in Advances in Neural Information Processing Systems 13, T. Leen, T. Dietterich, and V. Tresp, Eds. Cambridge, MA: MIT Press, 2001, pp. 556-562.
7. P. Paatero and U. Tapper, "Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values," Environmetrics, vol. 5, pp. 111-126, 1994.
8. M. Heiler and C. Schnorr, "Learning non-negative sparse image codes by convex programming," in Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV), 2005, pp. 1667-1674.
9. R. Zdunek and A. Cichocki, "Nonnegative matrix factorization with constrained second-order optimization," Signal Processing, vol. 87, pp. 1904-1916, 2007.
10. C.-J. Lin, "Projected gradient methods for nonnegative matrix factorization," Neural Computation, vol. 19, pp. 2756-2779, 2007.
11. P. Hoyer, "Non-negative matrix factorization with sparseness constraints," Journal of Machine Learning Research, vol. 5, pp. 1457-1469, 2004.
12. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge University Press, 2004, available from http://www.stanford.edu/̃boyd/ cvxbook.
13. N. Z. Shor, Minimization Methods for Non-Differentiable Functions. Springer-Verlag, 1985.
14. B. Polyak, Introduction to Optimization. Optimization Software, Inc., 1987. "
15. G. A. Swayze, R. N. Clarke, S. Sutley, and A. Gallagher, "Groundtruthing AVTRIS mineral mapping at Cuprite, Nevada," in Proceedings of the 3rd JPL Airborne Geoscience Workshop, 1992.
16. F. A. Kruse, "Comparison of AVIRIS and Hyperion for liyperspectral mineral mapping," in Proceedings of the 11th JPL Airborne Geoscience Workshop, Mar. 2002.
17. D. Stein, "Application of the normal compositional model to the analysis of liyperspectral imagery," in Proceedings of the IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.
18. R. N. Clarke, G. A. Swayze, K. E. Lira, R. F. Kokaly, S. Sutley, J. B. Dalton, R. R. McDougal, and C. A. Gent, "Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert, systems," Journal, of Geophysical Research, vol. 108, no. 12, pp. 5-44, 2003.
19. R. N. Clark, G. A. Swayze, R. Wise, K. Livo, T. M. Hoefen, R. F. Kokaly, and S. J. Sutley, "USGS digital spectral library," 2006, USGS Open File Report 03-395.