Dear all,
I have a small image with three bands and I would like to normalise the
variance of the three bands in order to get a more homogeneous dataset for
further elaborations.
I am thinking to use the normal score transform, but I have some questions
about how to implement in R and especially how to do with raster data.
My data are read into R with the readGDAL function.

I have been trying the qnorm() and the qqnorm(ppoints()) with strange
results, using on data.frame or matrix or vector types: in any case all
values are NAs.

Any suggestion on which is the most suitable function to do the transform on
raster data within R would be really appreciated.

Thank you very much in advance

Laura

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