Hi all,

I performed minimum noise fraction transformation on a hyperspectral image with 129 bands. This produces 129 new bands, as it should. Okay, then I get the eigenvalues that I can use to interpret which bands contain information and which bands contain noise.

Now I need to understand which bands constituted most to each new MNF band. To my understanding we need to look at the eigenvector matrix to see the "loading" from each original band. But, which way should we look at the matrix. Is each column representing new MNF band and rows the original bands, or vice versa? Essentially, how should I look at the eigenvector matrix, so that I can understand which bands constituted the most to each new MNF component.

Br,
Rami