1. [1] J. M. Bioucas-Dias, A. Plaza, N. Dobigeon, M. Parente, Q. Du, P. Gader, et al., "Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches," Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol. 5, pp. 354-379, 2012. [DOI:10.1109/JSTARS.2012.2194696]

2. [2] B. Somers, G. P. Asner, L. Tits, and P. Coppin, "Endmember variability in spectral mixture analysis: A review," Remote Sensing of Environment, vol. 115, pp. 1603-1616, 2011. [DOI:10.1016/j.rse.2011.03.003]

3. [3] F. D. Van der Meer and X. Jia, "Collinearity and orthogonality of endmembers in linear spectral unmixing," International Journal of Applied Earth Observation and Geoinformation, vol. 18, pp. 491-503, 2012. [DOI:10.1016/j.jag.2011.10.004]

4. [4] B. Somers, S. Delalieux, W. Verstraeten, J. Van Aardt, G. Albrigo, and P. Coppin, "An automated waveband selection technique for optimized hyperspectral mixture analysis," International Journal of Remote Sensing, vol. 31, pp. 5549-5568, 2010. [DOI:10.1080/01431160903311305]

5. [5] G. P. Asner and D. B. Lobell, "A biogeophysical approach for automated SWIR unmixing of soils and vegetation," Remote sensing of environment, vol. 74, pp. 99-112, 2000. [DOI:10.1016/S0034-4257(00)00126-7]

6. [6] C.-I. Chang, Q. Du, T.-L. Sun, and M. L. Althouse, "A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification," Geoscience and Remote Sensing, IEEE Transactions on, vol. 37, pp. 2631-2641, 1999. [DOI:10.1109/36.803411]

7. [7] B. Mojaradi, H. Abrishami-Moghaddam, M. J. V. Zoej, and R. P. W. Duin, "Dimensionality reduction of hyperspectral data via spectral feature extraction," Geoscience and Remote Sensing, IEEE Transactions on, vol. 47, pp. 2091-2105, 2009 [DOI:10.1109/TGRS.2008.2010346]

8. [8] D. C. Heinz, "Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery," Geoscience and Remote Sensing, IEEE Transactions on, vol. 39, pp. 529-545, 2001. [DOI:10.1109/36.911111]

9. [9] J. M. P. Nascimento, "Unsupervised hyperspectral unmixing," Universidade Técnica de Lisboa, 2006.

10. [10] D. C. Heinz, "Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery," Geoscience and Remote Sensing, IEEE Transactions on, vol. 39, pp. 529-545, 2001. [DOI:10.1109/36.911111]