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| Hauptseite > Publikationsdatenbank > Automatic radiometric normalization of multitemporal satellite imagery with the iteratively ie-weighted MAD transformation |
| Hauptseite > Publikationsdatenbank > Automatic radiometric normalization of multitemporal satellite imagery with the iteratively ie-weighted MAD transformation |
| Journal Article | PreJuSER-1742 |
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2008
Elsevier Science
Amsterdam [u.a.]
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Please use a persistent id in citations: doi:10.1016/j.rse.2007.07.013
Abstract: A recently proposed method for automatic radiometric normalization of multi- and hyperspectral imagery based on the invariance property of the Multivariate Alteration Detection (MAD) transfortnation 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. (C) 2007 Elsevier Inc. All rights reserved.
Keyword(s): J ; change detection (auto) ; multispectral imagery (auto) ; iteratively reweighted multivariate alteration detection (IR-MAD) (auto) ; canonical correlation analysis (CCA) (auto) ; radiometric (auto)
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