Keshava N, Mustard J F. Spectral unmixing[J]. IEEE Signal Process. Mag., 2002, 19(1): 44-57.
[3]
Chang C, Plaza A. A Fast Iterative Algorithm for Implementation of Pixel Purity Index[J]. IEEE Geosci. Remote Sens. Lett., 2006, 3(1): 63-67.
[4]
Nascimento J M P, Bioucas-Dias J M. Vertex Component Analysis A Fast Algorithm to Unmix Hyperspectral Data[J]. IEEE Trans. Geosci. Remote Sens., 2004, 43(8): 898-910.
[5]
Winter M E. N-FINDR: An algorithm for fast autonomous spectral endmember determination in hyperspectral data[C]. International Society for Optics and Photonics, 1999.
[6]
Ambikapathi A, Chan T, et al. Hyperspectral Data Geometry Based Estimation of Number of Endmembers Using p-norm Based Pure Pixel Identification Algorithm[J]. IEEE Trans. Geosci. Remote Sens., 2013, 51(5): 2753-2769.
[7]
Li J, Bioucas-Dias J E M. MINIMUM VOLUME SIMPLEX ANALYSIS A FAST ALGORITHM TO UNMIX HYPERSPECTRAL DATA[C]. Boston: 2008.
[8]
Bioucas-Dias J M. A VARIABLE SPLITTING AUGMENTED LAGRANGIAN APPROACH TO LINEAR SPECTRAL UNMIXING[Z]. Grenoble,France: 2009.
[9]
Miao L, Qi H. Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization[J]. IEEE Trans. Geosci. Remote Sens., 2007, 45(3): 765-777.
