wbt_parallelepiped_classification: Parallelepiped classification

In whitebox: 'WhiteboxTools' R Frontend

Parallelepiped classification

Description

Performs a supervised parallelepiped classification using training site polygons and multi-spectral images.

Usage

wbt_parallelepiped_classification(
  inputs,
  polys,
  field,
  output,
  wd = NULL,
  verbose_mode = NULL,
  compress_rasters = NULL,
  command_only = FALSE
)

Arguments

inputs	Name of the input band images.
polys	Name of the input training site polygons shapefile.
field	Name of the attribute containing class name data.
output	Name of the output raster file.
wd	Changes the working directory. Default: NULL will use the value in WhiteboxTools settings, see wbt_wd() for details.
verbose_mode	Sets verbose mode. If verbose mode is FALSE, tools will not print output messages. Default: NULL will use the value in WhiteboxTools settings, see wbt_verbose() for details.
compress_rasters	Sets the flag used by 'WhiteboxTools' to determine whether to use compression for output rasters. Default: NULL will use the value in WhiteboxTools settings, see wbt_compress_rasters() for details.
command_only	Return command that would be executed by system() rather than running tool. Default: FALSE.

Value

Returns the tool text outputs.

whitebox documentation built on Nov. 19, 2023, 1:07 a.m.