relnorm {landsat} | R Documentation |
Relative normalization of an image
Description
Use regression methods to adjust distribution of values in image tofix to match those in the master image.
Usage
relnorm(master, tofix, mask, method = "MA", nperm = 1000)
Arguments
master |
The target image, in SpatialGridDataFrame, data frame, matrix or vector format. |
tofix |
The image to be normalized, in any format. |
mask |
Areas to be omitted, if any, such as a cloud mask. Only NA values within the mask will be used. |
method |
Regression method to be used. OLS: Ordinary Least Squares; MA: Major Axis (recommended); SMA: Standard Major Axis. |
nperm |
Number of permutations to use for significance testing. |
Details
The regression coefficients from tofix ~ master will be used to match the distribution of values of tofix to those in the master image.
Value
regression.results |
The regression results from lmodel2 |
newimage |
The transformed image, in the same format in which tofix was provided. |
Author(s)
Sarah Goslee
See Also
Examples
## Not run:
data(nov3)
data(july3)
par(mfrow=c(2,2))
image(nov3)
image(july3)
nov3.newR <- relnorm(master=july3, tofix=nov3)
image(nov3.newR$newimage)
nov3.newH <- histmatch(master=july3, tofix=nov3)
image(nov3.newH$newimage)
## End(Not run)