View source: R/optHiPassThresh.R
optHiPassThresh | R Documentation |
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.
optHiPassThresh(x, inventory, range.scale.factor, range.threshold, path.runfile = NULL, env.rsaga, path.save = tempdir(), NoData = -99999, ..., cores = 1, quiet = TRUE)
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 |
data.frame with clssification measurements ().
SAGA GIS must be installed.
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