Performs fully constrained least squares. Fully constrained least squares is least squares with the abundance sum-to-one constraint (ASC) and the abundance nonnegative constraint (ANC).
Display the abundance maps to a IPython Notebook.
Performs fully constrained least squares of each pixel in M using the endmember signatures of U.
Plot the abundance maps.
NNLS performs non-negative constrained least squares with the abundance nonnegative constraint (ANC). Utilizes the method of Bro.
Display the abundance maps to a IPython Notebook.
NNLS performs non-negative constrained least squares of each pixel in M using the endmember signatures of U.
Plot the abundance maps.
Performs unconstrained least squares abundance estimation.
Display the abundance maps to a IPython Notebook.
Performs unconstrained least squares abundance estimation on the HSI cube M using the spectral library U.
Plot the abundance maps.