Parallelepiped classification
Source:R/image_analysis_classification.R
wbt_parallelepiped_classification.Rd
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, seewbt_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, seewbt_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, seewbt_compress_rasters()
for details.- command_only
Return command that would be executed by
system()
rather than running tool. Default:FALSE
.