#' create name vector corresponding to the training image stack
#' create vector containing the names of the image stack calculated using \code{\link{calc_ext}}
#' @param rgbi character. codes of the RGB indices
#' @param bandNames character. band names
#' @param stat character. stat codes
#' @param morpho character. morpho codes
#' @param edge character. edge codes
#' @param rgbTrans character. RGB transformation model codes
#' @param l_raster number of raster layer that exist
#' @keywords internal
#'
#' @export make_bandnames
make_bandnames <- function(rgbi = NA,
bandNames = NA,
stat = FALSE,
morpho = NA,
edge = NA ,
rgbTrans = NA,
dem = NA,
l_raster = NA,
pca=NA){
if (!is.na(rgbi[1])) bandNames <- append(c("red","green","blue"),rgbi)
if (!is.na(bandNames[1])) {
if(bandNames[1] == "simple"){
bandNames <- c("Energy", "Entropy", "Correlation",
"Inverse_Difference_Moment", "Inertia",
"Cluster_Shade", "Cluster_Prominence",
"Haralick_Correlation")
} else if(bandNames[1] == "advanced"){
bandNames <- c("Hara_Mean", "Hara_Variance", "Dissimilarity",
"Sum_Average",
"Sum_Variance", "Sum_Entropy",
"Difference_of_Variances",
"Difference_of_Entropies",
"IC1", "IC2")
} else if(bandNames[1] == "higher"){
bandNames <- c("Short_Run_Emphasis",
"Long_Run_Emphasis",
"Grey-Level_Nonuniformity",
"Run_Length_Nonuniformity",
"Run_Percentage",
"Low_Grey-Level_Run_Emphasis",
"High_Grey-Level_Run_Emphasis",
"Short_Run_Low_Grey-Level_Emphasis",
"Short_Run_High_Grey-Level_Emphasis",
"Long_Run_Low_Grey-Level_Emphasis",
"Long_Run_High_Grey-Level_Emphasis")
} else if(bandNames[1] == "all"){
bandNames <- c("Energy", "Entropy", "Correlation",
"Inverse_Difference_Moment", "Inertia",
"Cluster_Shade", "Cluster_Prominence",
"Haralick_Correlation",
"Hara_Mean", "Hara_Variance", "Dissimilarity",
"Sum_Average",
"Sum_Variance", "Sum_Entropy",
"Difference_of_Variances",
"Difference_of_Entropies",
"IC1", "IC2",
"Short_Run_Emphasis",
"Long_Run_Emphasis",
"Grey-Level_Nonuniformity",
"Run_Length_Nonuniformity",
"Run_Percentage",
"Low_Grey-Level_Run_Emphasis",
"High_Grey-Level_Run_Emphasis",
"Short_Run_Low_Grey-Level_Emphasis",
"Short_Run_High_Grey-Level_Emphasis",
"Long_Run_Low_Grey-Level_Emphasis",
"Long_Run_High_Grey-Level_Emphasis")
}
if (!is.na(l_raster)) bandNames<-bandNames[1:l_raster]
}
if (stat == TRUE) {
bandNames = c("Stat_Mean","Stat_Variance", "Stat_Skewness", "Stat_Kurtosis")
}
if (!is.na(dem)) {
bandNames = dem
}
if (!is.na(morpho)) {
bandNames = morpho
}
if (!is.na(edge)) {
bandNames = edge
}
if (!is.na(pca)[1]) {
bandNames = "PCA"
}
if (!is.na(rgbTrans)) {
if (rgbTrans %in% c("Gray"))
bandNames = bandNames <- c(paste0(rgbTrans,"_b1"))
# c("cielab","CMY","Gray","HCL","HSB","HSI","Log","XYZ","YUV")
else if (rgbTrans %in% c("cielab"))
bandNames = bandNames <- c(paste0(rgbTrans,"_b1"),paste0(rgbTrans,"_b2"),paste0(rgbTrans,"_b3"),paste0(rgbTrans,"_b4"))
else
bandNames = bandNames <- c(paste0(rgbTrans,"_b1"),paste0(rgbTrans,"_b2"),paste0(rgbTrans,"_b3"))
}
return(bandNames)
}
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