Hi, my first time here, I fell in love with ORFEO only a few weeks ago.
I am unsure on how to calculate the percentage each endmember has in the result of Hyperspectral unmixing. For an example RGB Pixel I have the values: [137.75, 123.70, 58.39] which with 4 endmembers gives me an abundance matrix of : [0.76, 0.03, -0.35, 0.92].
Am I right by assuming these are the coefficients of the linear equation that when multiplied with my endmembers results in the pixel value? How could I calculate a percentage of each endmember present in the pixel?
this is weird, I think the output abundances should lie between 0 and 1, and should sum to 1. Have you tried to verify the result of unmixing by manually applying the linear model using the endmembers and the output abundances ? Which unmixing algorithm did you use ?
Where do the endmembers come from ? Have they been generated using the VertexComponentAnalysis application ?
the result are weird, in particular I think the endmembers produced by the VCA should all be positive. I tested another implementation of the algorithm (available here) and obtained the same output endmembers, so I don’t think the problem comes form OTB implementation (note that both implementation are based on the same Matlab code provided by the author of the VCA paper [1]).
perhaps the problem comes from the input data ? I am not sure the linear mixing model and use VCA to compute endmembers for a RGB image. Maybe the algorithm should be used on an actual hyperspectral image of high dimension ?