Automatic Radiometric Normalization of Multitemporal Satellite Imagery with the Iteratively Re-weighted MAD Transformation

Morton John Canty, Allan Aasbjerg Nielsen

AbstractA 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.
TypeJournal paper [With referee]
JournalRemote Sensing of Environment
Year2008    Month March    Vol. 112    No. 3    pp. 1025-1036    Ed. Marvin E. Bauer
PublisherElsevier
ISBN / ISSNDOI:10.1016/j.rse.2007.07.013
NoteENVI/IDL and Python code including code for interaction with the Google Earth Engine on Dr. Morton J. Canty's home page
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Geoinformatics


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