Modified VCA algorithm that aims to reduced the algorithmic complexity of the original. Intended to be called from vca.

vcaLopez2012(data, p, SNR = estSNR(data, p))

Arguments

data

Data matrix. Samples in rows frequencies in columns.

p

Number of endmembers.

SNR

The Signal-to-Noise ratio of the data. By default it will be estimated using estSNR.

Value

The indices of the endmembers in the original dataset.

Note

for debuglevels 1 and 2 debug information is printed (1) and plotted (2).

References

Lopez, S., Horstrand, P., Callico, G.M., Lopez J.F. and Sarmiento, R., "A Low-Computational-Complexity Algorithm for Hyperspectral Endmember Extraction: Modified Vertex Component Analysis," Geoscience & Remote Sensing Letters, IEEE, vol. 9 no. 3 pp. 502-506, May 2012 doi: 10.1109/LGRS.2011.2172771