wbt_parallelepiped_classification: Parallelepiped classification

View source: R/image_analysis_classification.R

wbt_parallelepiped_classificationR Documentation

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.


giswqs/whiteboxR documentation built on Oct. 14, 2024, 2:38 a.m.