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Journal article

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

By Canty, Morton John; Nielsen, Allan Aasbjerg1,2

From

Geodesy, National Space Institute, Technical University of Denmark1

National Space Institute, Technical University of Denmark2

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.

Language: English
Year: 2008
Pages: 1025-1036
ISSN: 18790704 and 00344257
Types: Journal article
DOI: 10.1016/j.rse.2007.07.013
ORCIDs: Nielsen, Allan Aasbjerg
Keywords

Canonical correlation analysis (CCA) Change detection Iteratively reweighted multivariate alteration detection (IR-MAD) Multispectral imagery Radiometric

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