Class dependent compressive-projection principal component analysis for hyperspectral image reconstruction

Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

Volumn , Issue , 2011, Pages

  Li, Wei ^a   Prasad, Saurabh ^a   Fowler, James E ^a   Bruce, Lori M ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

dimensionality reduction; hyperspectral imagery; random projection

Indexed keywords

DATA SETS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION TECHNIQUES; HYPERSPECTRAL IMAGERY; RANDOM PROJECTIONS; RECONSTRUCTION ALGORITHMS; RECONSTRUCTION TECHNIQUES;

IMAGE RECONSTRUCTION; REMOTE SENSING; SIGNAL PROCESSING;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84255192583     PISSN: 21586276     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2011.6080937     Document Type: Conference Paper

References (10)

1. Q. Du and J. E. Fowler, "Hyperspectral image compression using JPEG2000 and principal component analysis", IEEE Geoscience and Remote Sensing letters, vol. 4, no. 2, pp. 201-205, April 2007.
2. E. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information", IEEE Transactions on Information Theory, vol. 52, no. 2, pp. 489-509, February 2006.
3. J. E. Fowler, "Compressive-projection principal component analysis," IEEE Transaction on Image Processing, vol. 18, no. 10, pp. 2230-2242, October 2009.
4. S. Dasgupta, "Experiments with random projection," in Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence, pp. 143-151, San Francisco, CA, 2000.
5. R. Calderbank, S. Jafarpour, and R. Schapire, "Compressed learning: Universal sparse dimensionality reduction and learning in the measurement domain," Manuscript, 2009.
6. R. Baraniuk and M. Wakin, "Random projections of smooth manifolds," Foundations of Computational Math., 2007.
7. Duda, R. O., Hart, P. E. and Stocrk, D. G., Pattern Classification. John-Wiley and Sons, New York, NY, 2001.
8. S. D. Zenzo, S. D. Degloria, R. Bernstein and H. C. Kolsky, "Gaussian maximum likelihood and contextual classification algorithm for multicrop classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 25, pp. 805-814, November 1987.
9. B. N. Parlett, The Symmetric Eigenvalue Problem. Philadelphia, PA: SIAM, 1998.
10. D. Landgrebe, "Hyperspectral image data analysis as a high dimensional signal processing problem," IEEE Signal Processing Magazine, vol. 19, no. 1, pp. 17-28, January 2002.