A least-squares-filter vector hybrid approach to hyperspectral subpixel demixing

The least-squares and filter vector algorithm (FVA) approaches to subpixel demixing are mathematically equivalent. This equivalence is used to construct a hybrid approach to demixing. This approach maintains the speed of the filter vector algorithm while still providing the least-squares expressions for coefficient variances, weighed fits, and constrained fits.