Parallel VCA algorithm for hyperspectral remote sensing image in SMP cluster environment

Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

Volumn 5, Issue , 2010, Pages 2216-2220

  Luo, Wenfei ^a  

^a SOUTH CHINA NORMAL UNIVERSITY   (China)

Author keywords

Hyperspectral remote sensing; Parallel computing; SMP cluster; Spectral unmixing; Vertex component analysis

Indexed keywords

HYPERSPECTRAL REMOTE SENSING; PARALLEL COMPUTING; SMP CLUSTER; SPECTRAL UNMIXING; VERTEX COMPONENT ANALYSIS;

CLUSTER COMPUTING; IMAGE RECONSTRUCTION; PARALLEL ARCHITECTURES; REMOTE SENSING; SIGNAL PROCESSING;

CLUSTERING ALGORITHMS;

EID: 78650569534     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2010.5647788     Document Type: Conference Paper

References (22)

1. A. plaza, J. A. Benediktsson, J. Boardman, J. Brazile, L. Bruzzone, G. Camps-Valls, J. Chanussot, M. Fauvel, P. Gamba, A. Gualtieri, J. C. Tilton and G. Triani, "Recent Advances in Techniques for Hyperspectral Image Processing," Remote Sensing of Environment, vol. 113(1), September 2009, pp. S110-S122.
2. N. Keshava, J. F. Mustard, "Spectral unmixing", IEEE Signal Processing Magazine, Vol.19, 2002, pp. 44-57.
3. Boardman J W, Kruse F A, Green R O, "Mapping target signatures via partial unmixing of AVIRIS data", Proc. JPL Airborne Earth Science Workshop 1995, JPL Publication, Vol. 1, 1995, pp. 23-26.
4. C. I. Chang and A. Plaza, "A fast iterative algorithm for implementation of pixel purity index", IEEE Geoscience and Remote Sensing Letters, vol.3(1), 2006, pp. 63-67.
5. Theiler, J., D.D. Lavenier, N.R. Harvey, and et al., "Using blocks of skewers for faster computation of pixel purity index", Proc. SPIE 4132, SPIE Press, 2000, pp. 61-67.
6. Winter M E, "N-FINDR:an Algorithm for Fast Autonomous Spectral Endmember Determination in Hyperspectral Data", Proc. Imaging Spectrometry 1999, SPIE Press, Vol.37, 1999, pp.266-275.
7. Chang, C.-I. Wu, C.-C. Liu, W. Ouyang, Y.-C.,"A New Growing Method for Simplex-Based Endmember Extraction Algorithm", IEEE Transactions on Geoscience and Remote Sensing, vol. 44(10), 2006, pp. 2804-2819.
8. Antonio Plaza and Chein-I Chang, "An improved N-FINDR algorithm in implementation", Proc. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, SPIE Press, vol.5806, April 2005, pp. 298-306.
9. A. Chowdhury and M.S. Alam, "Fast implementation of N-FINDR algorithm for endmember determination in hyperspectral imagery", Proc. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, SPIE Press, vol. 6565, April 2007, pp. 656526.
10. Qian Du, N. Raksuntorn, N. H. Younan, Roger L. King, "Variants of N-FINDR algorithm for endmember extraction", Proc. Image and Signal Processing for Remote Sensing XIV. SPIE Press, vol. 7109, October 2008, pp. 71090G.
11. C. C. Wu, S. Chu and C-I Chang, "Sequential N-FINDR algorithms", Proc. Imaging spectrometry XIII. SPIE Press, vol. 7086, August 2008, pp.70860C.1-70860C.12.
12. Nascimento J.M., P,Dias, "Vertex Component Analysis:A Fast Algorithm to Unmix Hyperspectral Data", IEEE Trans.Geosci.Remote Sensing,vol.43, 2005, pp. 898-910.
13. J. M. P. Nascimento and J. M. Bioucas-Dias, "New developments on VCA unmixing algorithm", Proc. Image and Signal Processing for Remote Sensing XIV, SPIE Press, vol.7109, October 2008, pp.71090F.
14. Antonio Plaza, David Valencia, Javier Plaza and Pablo Martinez, "Commodity cluster-based parallel processing of hyperspectral imagery," Journal of Parallel and Distributed Computing, vol.66(3) , 2006, pp.345-358.
15. Stefan A Robila, Lukasz G Maciak, "A parallel unmixing algorithm for hyperspectral images," Proc. Intelligent robots and computer vision XXIV, SPIE Press, vol.6384, October 2006, pp.63840F.1-63840F.11.
16. Chao Dong, Huijie Zhao, Wei Wang, "Parallel nonnegative matrix factorization algorithm on the distributed memory platform," International Journal of Parallel Programming, vol.38(2), 2010, pp. 117-137.
17. Settle J J, Drake, "Linear mixing and estimation of ground cover proportions", Int.J. Remote sensing, vol.14(6), 1993, pp.1159-1177.
18. C L Lawson, R J Hanson, Solving Least Squares Problems. Prentice Hall Series in Automatic Computation, Englewood Cliffs:Prentice Hall Press, 1974.
19. Bro R, S D Jong. "A fast non-negativity-constrained least squares algorithm", Journal Chemometrics, vol.11, 1997, pp.393-401. (Pubitemid 127478570)
20. D. Heinz and C. I. Chang, "Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery", IEEE Trans. Geoscience and Remote Sensing, vol. 39, 2001, pp. 529-545.
21. C I Chang. Hyperspectral Imaging: Techniques for Spectral Detection and Classification. New York:Kluwer Academic/Plenum Publishers, 2003, pp.319-333.
22. Kengo Nakajima, "Parallel Multistage Preconditioners Based on a Hierarchical Graph Decomposition for SMP Cluster Architectures with a Hybrid Parallel Programming Model," High Performance Computing and Communications, vol.4782, 2007, pp. 384-395.