maps spectral species based on PCA file computed previously
map_spectral_species(Input_Image_File, Output_Dir, PCA_Files, PCA_model, SpectralFilter, Input_Mask_File, Pix_Per_Partition, nb_partitions, Continuum_Removal = TRUE, TypePCA = "SPCA", nbclusters = 50, nbCPU = 1, MaxRAM = FALSE)
character. Path of the image to be processed
character. Path for output directory
character. Path of the PCA image
list. Parameters for teh PCA model to be applied on original image
list. information about spectral band location (central wavelength), bands to keep...
character. Path of the mask corresponding to the image
numeric. number of pixels for each partition
numeric. number of partition
boolean. Set to TRUE if continuum removal should be applied
character. Type of PCA: choose either "PCA" or "SPCA"
numeric. number of clusters defined in k-Means
numeric. Number of CPUs to use in parallel.
numeric. MaxRAM maximum size of chunk in GB to limit RAM allocation when reading image file.