Robust endmember detection using L1 norm factorization

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2010, Pages 971-974

  Zare, Alina ^a   Gader, Paul ^a  

^a University of Florida   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EARTH SCIENCES;

ENDMEMBERS; HYPERSPECTRAL DATA; L1 NORM; PARAMETER SET; SENSITIVITY TO PARAMETERS; VIRTUAL DIMENSIONALITY;

REMOTE SENSING;

EID: 78650870766     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2010.5653679     Document Type: Conference Paper

References (23)

1. D. Manolakis, D. Marden, and G. A. Shaw, "Hyper-spectral image processing for automatic target detection applications," Lincoln Laboratory Journal, vol. 14, no. 1, pp. 79-116, 2003.
2. N. Keshava and J. F. Mustard, "Spectral unmixing," IEEE Signal Processing Magazine, vol. 19, pp. 44-57, 2002.
3. V. P. Pauca, J. Piper, and R. J. Plemmons, "Nonnegative matrix factorization for spectral data analysis," Linear Algebra Applications, vol. 416, no. 1, pp. 321-331, Jul. 2005.
4. S. Jia and Y. Qian, "Constrained nonnegative matrix factorization for hyperspectral unmixing," IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 1, pp. 161-173, Jan. 2009.
5. T.-M. Tu, "Unsupervised signature extraction and separation in hyperspectral images: A noise-adjusted fast independent components analysis approach," Optical Engineering, vol. 39, no. 4, pp. 897-906, 2000.
6. J. Wang and C.-I. Chang, "Applications of independent component analysis in endmember extraction and abundance quantification for hyperspectral imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 9, pp. 2601-2616, Sep. 2006. (Pubitemid 44321553)
7. A. Plaza, P. Martinez, R. Perez, and J. Plazas, "Spatial/spectral endmember extraction by multidimensional morphological operators," IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 9, pp. 2025-2041, Sep. 2002.
8. J. M. P. Nascimento and J. M. Bioucas-Dias, "Vertex component analysis: A fast algorithm to unmix hyper-spectral data," IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 4, pp. 898-910, Apr. 2005.
9. C.-I. Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 3, pp. 608-619, Mar. 2004.
10. T.-M. Tu, P. S. Huang, and P.-Y. Chen, "Blind separation of spectral signatures in hyperspectral imagery," in Proceedings of the IEEE: Vision, Image and Signal Processing, vol. 148, no. 4, Aug. 2001, pp. 217-226.
11. H.-T. Wu, J.-F. Yang, and F.-K. Chen, "Source number estimators using transformed Gerschgorin radii," IEEE Transactions on Signal Processing, vol. 43, no. 6, pp. 1325-1333, Jun. 1995.
12. A. A. Green, M. Berman, P. Switzer, and M. D. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Transactions on Geoscience and Remote Sensing, vol. 26, pp. 65-73, Jan. 1988.
13. R. A. Horn and C. R. Johnson, Matrix Analysis. Cambridge University Press, 1985.
14. Q. Ke and T. Kanade, "Robust l1 norm factorization in the prsence of outliers and missing data by alternative convex programming," in Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '05), Jun. 2005, p. 739746.
15. O. L. Mangasarian and D. R. Musicant, "Robust linear and support vector regression," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 9, pp. 950-955, 2003.
16. A. Zare and P. Gader, "Sparsity promoting iterated constrained endmember detection for hyperspectral imagery," IEEE Geoscience and Remote Sensing Letters, vol. 4, no. 3, pp. 446-450, July 2007.
17. M. Berman, H. Kiiveri, R. Lagerstrom, A. Ernst, R. Donne, and J. F. Huntington, "ICE: A statistical approach to identifying endmembers in hyperspectral images," IEEE Transactions on Geoscience and Remote Sensing, vol. 42, pp. 2085-2095, Oct. 2004.
18. N. Kwak, "Principal component analysis based on l1-norm maximization," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 9, pp. 1672-1680, Sept. 2008.
19. W. Li and J. Swetits, "The linear l1 estimator and the huber m-estimator," SIAM J. Optimization, vol. 8, pp. 45-475, 1998.
20. A. Zare and P. Gader, "L1-endmembers: a robust end-member detection and spectral unmixing algorithm," S. S. Shen and P. E. Lewis, Eds., vol. 7695, no. 1. SPIE, 2010, p. 76951L.
21. (2004, Sep) AVIRIS free standard data products. Jet Propulsion Laboratory, California Institute of Technology, Pasedena, CA. URL http://aviris.jpl.nasa.gov/html/aviris.freedata.html.
22. J. Boardman, F. Kruse, and R. Green, "Mapping target signatures via partial unmixing of AVIRIS data," in Summaries of the 5th Annu. JPL Airborne Geoscience Workshop, R. Green, Ed., vol. 1. Pasadena, CA: JPL Publ., 1995, pp. 23-26.
23. R. N. Clark, A. Swayze, R. Wise, K. E. Livo, T. M. Heofen, R. F. Kokaly, and S. J. Sutley. (2004, Jan.) USGS digital spectral library (splib05a). Spectroscopy Lab, U.S. Geological Surey. [Online]. Available: http://speclab.cr.usgs.gov/spectral-lib.html