prepro {autopls} | R Documentation |
Used for preprocessing predictor data in functions autopls
and
predict.autopls
prepro(X, method = 'bn')
X |
predictors as vector, matrix, raster brick or raster stack |
method |
type of preprocessing (currently only brightness normalization coded as “bn”) |
The function is called within autopls
and predict.autopls
.
The only implemented option is currently “bn”, which is a brightness
normalization according to Feilhauer et al. (2010). Raster brick and raster
stack are objects of package raster.
Returns the transformed matrix or raster object.
Hannes Feilhauer
Feilhauer. H., Asner, G.P., Martin, R.E., Schmidtlein, S. (2010): Brightness-normalized Partial Least Squares regression for hyperspectral data. Journal of Quantitative Spectroscopy and Radiative Transfer 111: 1947–1957.