This routine process images as a batch, normalizing the PCA analysis across images. This global normalization makes it possible to compare the resulting PCA scores across images and infer trends over different remote sensing tiles or across time.
foto_batch(path, window_size = 61, method = "zones", cores = 1)Arguments
- path
directory containing (only) image files to process
- window_size
a moving window size in pixels (default = 61 pixels)
- method
zones (for discrete zones) or mw for a moving window approach
- cores
number of cores to use in parallel calculations
Value
returns a radial spectrum for a moving window across a raster layer
Examples
if (FALSE) {
# load demo data path
path <- system.file("extdata", package = "foto")
# classify pixels using zones (discrete steps)
output <- foto_batch(
path = path,
window_size = 25,
method = "zones"
)
}