optHiPassThresh: Find optimal hyper-parameters for function...

In ggRaver/Lslide: Functions for object-oriented image analysis in landslide science

Find optimal hyper-parameters for function highPassThresholding

Description

This functions optimize the hyper-parameter of the function highPassThresholding using standard classification error measurements. As comparison a valid inventory in form of a binary classification must be given.

Usage

optHiPassThresh(x, inventory, range.scale.factor, range.threshold,
  path.runfile = NULL, env.rsaga, path.save = tempdir(),
  NoData = -99999, ..., cores = 1, quiet = TRUE)

Arguments

x	raster object or input path of file
inventory	binarized raster inventory of same extent and resolution as x
range.scale.factor	range of different scale factors
range.threshold	range of different thresholds
path.runfile	full path for run file with .txt as ending. Default: NULL
env.rsaga	SAGA GIS environment
NoData	= -99999
...	see highPassThresholding()
cores	number of cores for parallel processing. Default: 1 (sequential)
quiet	no outputs in console. Default: TRUE

Value

data.frame with clssification measurements ().

Note

• SAGA GIS must be installed.

ggRaver/Lslide documentation built on April 8, 2022, 7:14 a.m.