Description Usage Arguments Value Author(s) References
Perform automated radiometric normalization between two rasters following an iMAD calculations.
1 2 3 4 |
inDataSet1 |
A Raster* object of the reference image. |
inDataSet2 |
A Raster* object of the image to be normalized. |
chisqr_raster |
Raster. The chi-square image generated from iMad (e.g. raster(imad_output,layer=1)) |
noChangeProbThresh |
Numeric. The probability threshold (0 <= noChangeProbThresh <= 1) for determining no change (default = 0.95). |
minNoChangePixels |
Logical. NOT SUPPORTED. |
graph_only |
Logical. NOT SUPPORTED. |
return_gains_and_offsets |
Logical. Return the gains and offsets as a matrix? |
apply_to_raster |
Raster*. The Raster* to apply the gains and the offsets to (default: inDataSet2). Set to NA if you don't want to apply the gains and offsets at this stage. |
List (if return_gains_and_offsets==TRUE && !is.na(apply_to_raster)) of the gains and offsets and normalized raster. Matrix of gains and rasters if !is.na(apply_to_raster). Raster* of the normalized image if return_gains_and_offsets==FALSE.
Mort Canty (original code) and Jonathan A. Greenberg (R port).
Canty, M.J. and A.A. Nielsen. 2008. Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation. Remote Sensing of Environment 112:1025-1036.
Nielsen, A.A. 2007. The regularized iteratively reweighted MAD method for change detection in multi- and hyperspectral data. IEEE Transactions on Image Processing 16(2):463-478.
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