foto_batch: Calculates FOTO classification of texture for an image batch

In foto: Fourier Transform Textural Ordination

Calculates FOTO classification of texture for an image batch

Description

This routine process images as a batch, normalizing the PCA analysis across images. This global normalization makes it possible to compare the resulting PCA scores across images and infer trends over different remote sensing tiles or across time.

Usage

foto_batch(path, window_size = 61, method = "zones", cores = 1)

Arguments

path	directory containing (only) image files to process
window_size	a moving window size in pixels (default = 61 pixels)
method	zones (for discrete zones) or mw for a moving window approach
cores	number of cores to use in parallel calculations

Value

returns a radial spectrum for a moving window across a raster layer

See Also

rspectrum foto

Examples

## Not run: 
# load demo data path
path <- system.file("extdata", package = "foto")

# classify pixels using zones (discrete steps)
output <- foto_batch(
  path = path,
  window_size = 25,
  method = "zones"
)

## End(Not run)

foto documentation built on Oct. 4, 2023, 1:07 a.m.