prepro: Preprocessing in autopls

Description Usage Arguments Details Value Author(s) References See Also

Description

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

Usage

1
  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”)

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.

Value

Returns the transformed matrix or raster object.

Author(s)

Hannes Feilhauer

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


autopls documentation built on May 2, 2019, 9:39 a.m.