@ARTICLE\{IMM2008-05362,
    author       = "M. J. Canty and A. A. Nielsen",
    title        = "Automatic Radiometric Normalization of Multitemporal Satellite Imagery with the Iteratively Re-weighted {MAD} Transformation",
    year         = "2008",
    month        = "mar",
    edition      = "Marvin E. Bauer",
    pages        = "1025-1036",
    journal      = "Remote Sensing of Environment",
    volume       = "112",
    editor       = "",
    number       = "3",
    publisher    = "Elsevier",
    note         = "ENVI/{IDL} and Python code including code for interaction with the Google Earth Engine on Dr. Morton J. Canty's home page",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5362-full.html",
    abstract     = "A recently proposed method for automatic radiometric normalization of multi- and hyper-spectral imagery based on the invariance property of the Multivariate Alteration Detection (MAD) transformation and orthogonal linear regression is extended by using an iterative re-weighting scheme involving no-change probabilities. The procedure is first investigated with partly artificial data and then applied to multitemporal, multispectral satellite imagery. Substantial improvement over the previous method is obtained for scenes which exhibit a high proportion of change.",
    isbn_issn    = "DOI:10.1016/j.rse.2007.07.013"
}