An adaptive differential evolution endmember extraction algorithm for hyperspectral remote sensing imagery

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 6, 2014, Pages 1061-1065

  Zhong, Yanfei ^a   Zhao, Lin ^a   Zhang, Liangpei ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Differential evolution (DE); Endmember extraction; Hyperspectral remote sensing; Spectral unmixing

Indexed keywords

EID: 84894030439     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2013.2285476     Document Type: Article

References (24)

1. J.W. Boardman, F. A. Kruse, and R. O. Green, "Mapping target signatures via partial unmixing of AVIRIS data," in Proc. Summaries JPL Air-borne Earth Sci. Workshop, Pasadena, CA, USA, 1995, pp. 23-26.
2. C.-I. Chang and A. Plaza, "A fast iterative algorithm for implementation of pixel purity index," IEEE Geosci. Remote Sens. Lett., vol. 3, no. 1, pp. 63-67, Jan. 2006. (Pubitemid 43131898)
3. W. Xiong, C.-I. Chang, and C.-C. Chang, "Fast algorithms to implement N-FINDR for hyperspectral endmember extraction," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 4, no. 3, pp. 545-564, Sep. 2011.
4. J.M. P. Nascimento and J.M. B. Dias, "Vertex component analysis: A fast algorithm to unmixing hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 898-910, Apr. 2005. (Pubitemid 40476033)
5. C.-I. Chang, C.-C. Wu, W. M. Liu, and Y. C. Ouyang, "A new growing method for simplex-based endmember extraction algorithm," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2804-2819, Oct. 2006.
6. J. Gruninger, A. Ratkowski, and M. Hoke, "The Sequential Maximum Angle Convex Cone (SMACC) endmember model," in Proc. SPIE, 2004, vol. 5425, pp. 1-14.
7. N. Keshava and J. F. Mustard, "Spectral unmixing," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 44-57, Jan. 2002. (Pubitemid 34237207)
8. B. Zhang, X. Sun, and L. Gao, "Endmember extraction of hyperspectral remote sensing images based on the discrete particle swarm optimization algorithm," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4173-4176, Nov. 2011.
9. B. Zhang, X. Sun, and L. Gao, "Endmember extraction of hyperspectral remote sensing images based on the Ant Colony Optimization (ACO) algorithm," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 7, pp. 2635-2646, Jul. 2011.
10. S. Das, A. Abraham, U. K. Chakraborty, and A. Konar, "Differential evolution using a neighborhood-based mutation operator," IEEE Trans. Evol. Comput., vol. 13, no. 3, pp. 526-553, Jun. 2009.
11. Y. Zhong and L. Zhang, "Remote sensing image subpixel mapping based on adaptive differential evolution," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 42, no. 5, pp. 1306-1329, Oct. 2012.
12. S. Das and S. Sil, "Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm," Inf. Sci., vol. 180, no. 8, pp. 1237-1256, Apr. 2010.
13. S. Das and P. N. Suganthan, "Differential evolution:Asurveyof the state-ofthe-art," IEEE Trans. Evol. Comput., vol. 15, no. 1, pp. 4-31, Feb. 2011.
14. S. Bernabe, S. Sanchez, A. Plaza, S. Lopez, J. A. Benediktsson, and R. Sarmiento, "Hyperspectral unmixing on GPUs and multi-core processors: A comparison," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 3, pp. 1386-1398, Jun. 2013.
15. Y. Zhong, S. Zhang, and L. Zhang, "Automatic fuzzy clustering based on adaptive multi-objective differential evolution for remote sensing imagery," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 5, pp. 2290-2301, Oct. 2013.
16. R. Storn and K. V. Price, "Differential Evolution-A simple and efficient heuristic for global optimization over continuous spaces," J. Glob. Optim., vol. 11, no. 4, pp. 341-359, Dec. 1997. (Pubitemid 127502202)
17. S. M. Islam, S. Das, S. Ghosh, S. Roy, and P. N. Suganthan, "An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 42, no. 2, pp. 482-500, Apr. 2012.
18. S. Ghosh, S. Das, A. V. Vasilakos, and K. Suresh, "On convergence of differential evolution over a class of continuous functions with unique global optimum," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 42, no. 1, pp. 107-124, Feb. 2012.
19. S. Das, A. Konar, and U. K. Chakraborty, "Two improved differential evolution schemes for faster global search," in Proc. Conf. GECCO, 2005, pp. 991-998. (Pubitemid 43226406)
20. J. Derrac, S. García, D. Molina, and F. Herrera, "A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms," Swarm Evol. Comput., vol. 1, no. 1, pp. 3-18, Mar. 2011.
21. J. Brest, S. Greiner, B. Boškovi, M. Mernik, and V. Umer, "Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems," IEEE Trans. Evol. Comput., vol. 10, no. 6, pp. 646-657, Dec. 2006. (Pubitemid 46445554)
22. Y. Masalmah and M. Velez-Reyes, "A full algorithm to compute the constrained positive matrix factorization and its application in unsupervised unmixing of hyperspectral imagery," in Proc. SPIE, Algorithms Technol. Multispectr., Hyperspectr., Ultraspectr. Imagery XIV, Apr. 2008, vol. 6966, pp. 69661C-1-69661C-12.
23. M. Zortea and A. Plaza, "Spatial Preprocessing for endmember extraction," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 8, pp. 2679-2693, Aug. 2009.
24. Y. Rezaei, M. R. Mobasheri, M. J. V. Zoej, and M. E. Schaepman, "Endmember extraction using a combination of orthogonal projection and genetic algorithm," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 2, pp. 161-165, Mar. 2012.