Hi Monika,

Sorry for the slow responses...
I had a quick look at the application source code:
https://github.com/orfeotoolbox/OTB/blob/develop/Modules/Applications/AppDimensionalityReduction/app/otbDimensionalityReduction.cxx

and it looks like that's the transformation matrix indeed. Not sure what it's 
exactly as it depends on the parameters you used. for regular PCA it should be 
the eigen vectors of the covariance matrix of the image, no? probably centered 
and normalized also. So if you want to reconstruct the image you would need the 
original mean and std of each band. Is that something you need to do?

Sorry I don't have much more to go on. Anyone else?

Victor Poughon
________________________________
De : [email protected] [[email protected]] de la part de 
Monika [[email protected]]
Envoyé : mardi 30 mai 2017 10:56
À : otb-users
Objet : [otb-users] Re: PCA transformation matrix

Hi again!

Nobody knows what values this matrix contains? I can really use that 
information and will be thankful for any help.

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