Joint sparsity model for multilook hyperspectral image unmixing

IEEE Geoscience and Remote Sensing Letters

Volumn 12, Issue 4, 2015, Pages 696-700

  Bieniarz, J ^a   Aguilera, E ^a   Zhu, X X ^a   Muller, R ^a   Reinartz, P ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Joint sparsity; overcomplete spectral dictionary; spectral unmixing

Indexed keywords

LEAST SQUARES APPROXIMATIONS; SPECTROSCOPY;

HYPERSPECTRAL DATA; JOINT SPARSITY; JOINT SPARSITY MODELS; LEAST SQUARES-BASED METHODS; OVER-COMPLETE; OVER-COMPLETE DICTIONARIES; SPATIAL HOMOGENEITY; SPECTRAL UNMIXING;

INDEPENDENT COMPONENT ANALYSIS;

EID: 84908664169     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2358623     Document Type: Article

References (15)

1. J. M. Bioucas-Dias et al., "Hyperspectral unmixing overview: Geometrical, statistical, sparse regression-based approaches," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 2, pp. 354-379, Apr. 2012.
2. 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.
3. J. Bieniarz, R. Müller, X. X. Zhu, and P. Reinartz, "On the use of overcomplete dictionaries for spectral unmixing," presented at the 4th WHISPERS, Jun. 2012.
4. W. Tang, Z. Shi, andY.Wu, "Regularized simultaneous forward-backward greedy algorithm for sparse unmixing of hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 9, pp. 5271-5288, Sep. 2014.
5. J. Mairal, F. Bach, J. Ponce, and G. Sapiro, "Online learning for matrix factorization and sparse coding," J. Mach. Learn. Res., vol. 11, pp. 19- 60, Mar. 2010.
6. B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, "Least angle regression," Ann. Statist., vol. 32, no. 2, pp. 407-499, 2004.
7. M.-D. Iordache, J. M. 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.
8. 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.
9. D. Baron, M. F. Duarte, S. Sarvotham, M. B. Wakin, and R. G. Baraniuk, "An information theoretic approach to distributed compressed sensing," in Proc. Allerton Conf. Commun. , Control, Comput., 2005, pp. 1-12.
10. R. Müller et al., "A program for direct georeferencing of airborne and spaceborne line scanner images," in Proc. ISPRS Commission I Symp.; Integrating Remote Sens. Global, Regional Local Scale, Nov. 2002, pp. 148-153.
11. J. M. Bioucas-Dias, 2012. [Online]. Available: http://www.lx.it.pt/ bioucas/code/demosparsetv.rar
12. R. N. Clark et al., "Usgs digital spectral library splib06a," in Digital Data Series 231. Reston, VA, USA: USGS, 2007.
13. T. Cocks, R. Jenssen, A. Stewart, I. Wilson, and T. Shields, "The HyMap (TM) airborne hyperspectral sensor: The system, calibration, and performance," presented at the 1st EARSeL Workshop Imag. Spectroscopy, 1998.
14. R. Richter and D. Schlpfer, "Atmospheric/Topographic correction for airborne imagery," DLR, Cologne, Germany, DLR-IB 565-02/13, 2011.
15. U. Heiden, K. Segl, S. Roessner, and H. Kaufmann, "Determination and verification of robust spectral features for an automated classification of sealed urban surfaces," in Proc. 4th EARSeL Workshop Imag. Spectroscopy Warsaw, 2005, pp. 151-159.