Improved stone's complexity pursuit for hyperspectral imagery unmixing

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 2006, Pages 817-820

  Jia, Sen ^a   Qian, Yuntao ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Complexity pursuit; Hyperspectral imagery unmixing; Independent component analysis

Indexed keywords

BLIND SOURCE SEPARATION; COMPUTATIONAL COMPLEXITY; INDEPENDENT COMPONENT ANALYSIS; SPURIOUS SIGNAL NOISE;

COMPLEXITY PURSUITS; HYPERSPECTRAL IMAGERY UNMIXING; LINEAR MIXTURE; SIGNAL STRUCTURE;

PATTERN RECOGNITION;

EID: 34147178821     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.695     Document Type: Conference Paper

References (13)

1. A. Cichocki and S. Amari, Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications, John Wiley & Sons, 2002.
2. S.-S. Chiang, C.-I. Chang, J.A. Smith, and I.W. Ginsberg, "Linear spectral random mixture analysis for hyperspectral imagery," IEEE Transaction on Geoscience and Remote Sensing, vol. 40, no. 2, pp. 375-392, February 2002.
3. S.A. Robila, "Investigation of spectral screening techniques for independent component analysis based hyperspectral image processing," in Proceedings of SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, 2003, vol. 5093, pp. 241-252.
4. J.D. Bayliss, J.A. Gualtieri, and R.F. Cromp, "Analyzing hyperspectral data with independent component analysis," in Proceeding of SPIE Applied Image and Pattern Recognition Workshop, 1997, vol. 3240, pp. 133-143.
5. J.M.P. Nascimento and J.M.B. Dias, "Does independent component analysis play a role in unmixing hyperspectral data?," IEEE Transaction on Geoscience and Remote Sensing, vol. 43, no. 1, pp. 175-187, January 2005.
6. J.V. Stone, "Blind source separation using temporal predictability," Neural Computation, vol. 13, no. 7, pp. 1559-1574, July 2001.
7. J.V. Stone, Independent Component Analysis: A Tutorial Introduction, MIT Press, 2004.
8. A. Hyvärinen, "Complexity pursuit: separating interesting components from time-series," Neural Computation, vol. 13, no. 4, pp. 883-898, 2001.
9. S. Xie, Z. He, and Y. Fu, "A note on stone's conjecture of blind signal separation," Neural Computation, vol. 17, no. 2, pp. 321-330, February 2005.
10. J.V. Stone and J. Porrill, "Undercomplete independent component analysis for signal separation and dimension reduction," Tech. Rep., Psychology Department, Sheffield University, http://www.shef.ac.uk/pcljvs/, 1998.
11. "The HYDICE HSI dataset," Availabe at http://www.tec.army.mil/ Hypercube/.
12. C.-I Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Transaction on Geoscience and Remote Sensing, vol. 42, no. 3, pp. 608-619, March 2004.
13. S. Jia and Y.T. Qian, "MRF-ICA mixture models for unmixing of hyperspectral images," in International conference on intelligent computing, August 2005, pp. 1924-1933.