foto_batch {foto} | R Documentation |
Calculates FOTO classification of texture for an image batch
Description
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.
Usage
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
See Also
Examples
## Not run:
# 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"
)
## End(Not run)
[Package foto version 1.1 Index]