foto: Calculates FOTO classification of texture
In foto: Fourier Transform Textural Ordination

foto	R Documentation

Calculates FOTO classification of texture

Description

Note that the input matrix should be square or results will be discarded

Usage

foto(
  x,
  window_size = 61,
  method = "zones",
  norm_spec = FALSE,
  high_pass = TRUE,
  pca = TRUE,
  plot = FALSE
)

Arguments

`x`	an image file, or single or multi-layer SpatRaster (RGB or otherwise), multi-layer data are averaged to a single layer
`window_size`	a moving window size in pixels (default = 61 pixels)
`method`	zones (for discrete zones) or mw for a moving window approach
`norm_spec`	normalize radial spectrum, bolean `TRUE` or `FALSE`
`high_pass`	apply high pass filter to radial spectra, bolean `TRUE` or `FALSE`
`pca`	execute PCA, `TRUE` or `FALSE`. If `FALSE` only the radial spectra are returned for additional manipulation. Plotting is ignored if set to `FALSE`.
`plot`	plot output, bolean `TRUE` or `FALSE`

Value

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

Examples

## Not run: 
# load demo data
r <- terra::rast(system.file("extdata",
  "yangambi.png",
  package = "foto",
  mustWork = TRUE
))

# classify pixels using zones (discrete steps)
output <- foto(r,
  plot = FALSE,
  window_size = 25,
  method = "zones"
)

# print data structure
print(names(output))

## End(Not run)

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