iMad_original: iMad Original (direct python port)

In imad: Iteratively Re-weighted Multivariate Alteration Detection (iMAD)

Description

Perform iteratively re-weighted multivariate alteration detection.

Usage

  iMad_original(inDataSet1, inDataSet2, maxiter = 100,
    lam = 0, output_basename, verbose = FALSE, ...)

Arguments

inDataSet1	A Raster* object of the first image.
inDataSet2	A Raster* object of the second image.
maxiter	Numeric (>= 1). The maximum number of iterations.
lam	Numeric. The penalization function.
output_basename	Character. The basename (including path) for the output files.

Value

Returns a RasterStack object where the first layer is the chisquare image, and the subsequent layers are the iMad layers.

Author(s)

Mort Canty (original code) and Jonathan A. Greenberg (R port).

imad documentation built on May 2, 2019, 6:05 p.m.