Estimation of signal subspace on hyperspectral data

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A New Growing Method for Simplex-Based Endmember Extraction Algorithm (2006, methodology): “in [14], called SSE can be also used for this purpose where p was estimated to be p = 5.”
The Why and How of Nonnegative Matrix Factorization (2014, methodology): “…at hand), estimation using the SVD (that is, look at the decay of the singular values of the input data matrix), and the use of experts insights (e.g., in blind HU, experts might have a good guess for the number of endmembers present in a scene); see also [7, 104, 70] and the references therein.”
Hyperspectral Subspace Identification (2008, methodology): “elaborates on and extends works [1] and [2].”