Distributed source separation algorithms for hyperspectral image processing

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5425, Issue , 2004, Pages 628-635

  Robila, Stefan ^a  

^a MONTCLAIR STATE UNIVERSITY   (United States)

Author keywords

Distributed processing; Hyperspectral imagery; Independent Component Analysis; Source separation

Indexed keywords

DISTRIBUTED PROCESSING; HYPERSPECTRAL IMAGERY; INDEPENDENT COMPONENT ANALYSIS (ICA); SOURCE SEPARATION;

ALGORITHMS; BLIND SOURCE SEPARATION; COMPUTER SIMULATION; DISTRIBUTED COMPUTER SYSTEMS; FEATURE EXTRACTION; IMAGE SENSORS; ITERATIVE METHODS; OPTIMIZATION; REMOTE SENSING;

IMAGE PROCESSING;

EID: 10444290682     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.541892     Document Type: Conference Paper

References (17)

1. Shaw, G. and D. Manolakis, "Signal processing for hyperspectral image exploitation", IEEE Signal Processing Magazine, 19, no. 1, 12-16, 2002
2. Keshava, N. and J. F. Mustard, "Spectral Unmixing", IEEE Signal Processing Magazine, 19, no. 1, 44-57, 2002
3. Richards, J. A. and X. Jia. Remote Sensing Digital Image Analysis, Springer, New York., 1999
4. Jia X., and J. A. Richards, "Segmented Principal Components Transformation for efficient hyperspectral remote sensing image display and classification", IEEE Transactions on Geoscience and Remote Sensing, 37, no. 1, 538-542, 1999
5. Lee, T.W., Independent Component Analysis. Theory and Applications, Kluwer Academic Publishers, Boston, 1998.
6. Robila, S. A, "Independent Component Analysis (ICA)", in P.K. Varshney, M.K. Arora editors. Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data (to appear), 2004
7. Chang, C.-I., S., -S. Chiang, J.A. Smith, and I.W. Ginsberg, "Linear spectral random mixture analysis for hyperspectral imagery", IEEE Trans. Geosci. Remote Sensing, 40, no. 2, 375-392, 2002
8. Shah C. A., M. K. Arora, S. A. Robila, P. K. Varshney, "ICA Mixture Model based Unsupervised Classification of Hyper-Spectral Imagery", IEEE Applied Imaging and Pattern Recognition Workshop, 29-35, 2002
9. Robila, S. A., and P.K. Varshney, "Further Results in the Use of ICA for Target Detection in Hyperspectral Images", SPIE Automated Target Recognition XIII, 5094, 186-195, 2003
10. Hyvärinen, A., J. Karhunen, and E. Oja, Independent Component Analysis, John Wiley & Sons, New York, 2001
11. Robila S.A., "Investigation of Spectral Screening for ICA Based Hyperspectral Image Proc.", SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, IX, 5093, 241-252, 2003
12. Robila, S. A., and P.K. Varshney, "Feature Extraction from Hyperspectral Data using ICA", in P.K. Varshney, M.K. Arora editors. Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data (to appear), 2004
13. Achalakul T. and S. Taylor, "A Concurrent Spectral-Screening PCT Algorithm for Remote Sensing Applications", Journal of Information Fusion, Vol. 1:2, pp. 89-97, 2000
14. D. Nuzillard, and A. Bijaoui, "Blind source separation and analysis of multispectral astronomical images", Astronomy and Astrophysics Suppl. Ser., 147, 129-138, 2000
15. Rencher, A.C., Methods of Multivariate Analysis, John Wiley & Sons, New York, 1995
16. MultiSpec©, http://dynamo.ecn.purdue.edu/~biehl/MultiSpec/, 2003
17. HYDICE, Hyperspectral Digital Imagery Collection Experiment Documentation, 1995