View source: R/Lib_PerformPCA.R
filter_PCA | R Documentation |
perform filtering based on extreme values PCA identified through PCA
filter_PCA(
Input_Image_File,
HDR,
Input_Mask_File,
Shade_Update,
Spectral,
Continuum_Removal,
PCA_model,
PCsel,
TypePCA,
nbCPU = 1,
MaxRAM = 0.25
)
Input_Image_File |
character. Path of the image to be processed |
HDR |
character. Path of the header file corresponding to the image to be processed |
Input_Mask_File |
character. Path of the mask raster corresponding to the image (keeps pixels = 1) |
Shade_Update |
character. Path of the updated mask raster corresponding to the image (keeps pixels = 1) |
Spectral |
list. spectral information from data |
Continuum_Removal |
boolean. set TRUE if continuum removal should be applied |
PCA_model |
dataframe. general parameters of the PCA |
PCsel |
numeric. PCs used to filter out extreme values |
TypePCA |
character. Set to PCA, SPCA or MNF |
nbCPU |
numeric. number of CPUs to be used in parallel |
MaxRAM |
numeric. indicator of RAM to be used to read image file |
Shade_Update = updated shade mask
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