An improved nonlocal sparse unmixing algorithm for hyperspectral imagery

IEEE Geoscience and Remote Sensing Letters

Volumn 12, Issue 4, 2015, Pages 915-919

  Feng, Ruyi ^a   Zhong, Yanfei ^a   Zhang, Liangpei ^a  

^a Shen Zhen Research and Development Center   (China)

Author keywords

Hyperspectral imagery; nonlocal; sparse unmixing (SU); spatial information; weight calculation

Indexed keywords

ALGORITHMS; CONSTRAINED OPTIMIZATION; FEATURE EXTRACTION; IODINE; OPTIMIZATION; REMOTE SENSING; SPECTROSCOPY;

HYPER-SPECTRAL IMAGERIES; NONLOCAL; SPATIAL INFORMATIONS; UNMIXING; WEIGHT CALCULATION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84920950478     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2367028     Document Type: Article

References (20)

1. J. M. Bioucas-Dias et al., "Hyperspectral remote sensing data analysis and future challenges," IEEE Geosci. Remote Sens. Mag., vol. 1, no. 2, pp. 6-36, Jun. 2013.
2. Q. Tong, Y. Xue, and L. Zhang, "Progress in hyperspectral remote sensing science and technology in China over the past three decades," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 1, pp. 70-91, Jan. 2014.
3. J. M. Bioucas-Dias et al., "Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 2, pp. 354-379, Apr. 2012.
4. A. Plaza, Q. Du, J. Bioucas-Dias, X. Jia, and F. Kruse, "Foreword to the special issue on spectral unmixing of remotely sensed data," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4103-4110, Nov. 2011.
5. W. K. Ma et al., "A signal processing perspective on hyperspectral unmixing: Insights from remote sensing," IEEE Signal Process. Mag., vol. 31, no. 1, pp. 67-81, Jan. 2014.
6. M. D. Iordache, J. M. Bioucas-Dias, and A. Plaza, "Sparse unmixing of hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 6, pp. 2014-2039, Jun. 2011.
7. M. D. Iordache, J. M. Bioucas-Dias, and A. Plaza, "Total variation spatial regularization for sparse hyperspectral unmixing," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 11, pp. 4484-4502, Nov. 2012.
8. X. Zhao, F. Wang, T. Huang, M. K. Ng, and R. J. Plemmons, "Deblurring and sparse unmixing for hyperspectral images," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 7, pp. 4045-4058, Jul. 2013.
9. M. D. Iordache, J. Bioucas-Dias, and A. Plaza, "Collaborative sparse regression for hyperspectral unmixing," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 1, pp. 341-354, Jan. 2014.
10. Y. Zhong, R. Feng, and L. Zhang, "Non-local sparse unmixing for hyperspectral remote sensing imagery," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 6, pp. 1889-1909, Jun. 2014.
11. M. D. Iordache, J. Bioucas-Dias, A. Plaza, and B. Somers, "MUSIC-CSR: Hyperspectral unmixing via multiple signal classification and collaborative sparse regression," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 7, pp. 4364-4382, Jul. 2014.
12. C.-I. Chang and Q. Du, "Interference and noise-adjusted principal components analysis," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 5, pp. 2387-2396, Sep. 1999.
13. D. C. Heinz and C.-I. Chang, "Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 3, pp. 529-545, Mar. 2001.
14. M. D. Iordache, "A sparse regression approach to hyperspectral unmixing," Ph.D. dissertation, School Elect. Comput. Eng., Instituto Superior Técnico, Lisbon, Portugal, 2011.
15. E. Candés and J. J. Romberg, "Sparsity and incoherence in compressive sampling," IEEE Trans. Image Process., vol. 23, pp. 969-985, Apr. 2007.
16. A. Buades, B. Coll, and J. M. Morel, "A non-local algorithm for image denoising," in Proc. IEEE CVPR, 2005, vol. 2, pp. 60-65.
17. J. Eckstein and D. Bertsekas, "On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators," Math. Progr., vol. 55, no. 1-3, pp. 293-318, Apr. 1992.
18. J. Bioucas-Dias and M. Figueiredo, "Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing," in Proc. 2nd WHISPERS, Reykjavik, Iceland, 2010, pp. 1-4.
19. L. I. Jimenez, G. Martin, and A. Plaza, "A new tool for evaluating spectral unmixing applications for remotely sensed hyperspectral image analysis," in Proc. Int. Conf. GEOBIA, Rio de Janeiro, Brazil, 2012, pp. 1-5.
20. X. Xu, Y. Zhong, L. Zhang, and H. Zhang, "Sub-pixel mapping based on a MAP model with multiple shifted hyperspectral imagery," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 2, pp. 580-593, Apr. 2013.