autopls (version 1.3)

prepro: Preprocessing in autopls

Description

Used for preprocessing predictor data in functions autopls and predict.autopls

Usage

prepro(X, method = 'bn')

Arguments

X

predictors as vector, matrix, raster brick or raster stack

method

type of preprocessing (currently only brightness normalization coded as “bn”)

Value

Returns the transformed matrix or raster object.

Details

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.

References

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.

See Also

autopls, predict.autopls