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

Morton John Canty, Allan Aasbjerg Nielsen

Research output: Contribution to journalJournal articleResearchpeer-review

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.
Original languageEnglish
JournalRemote Sensing of Environment
Volume112
Pages (from-to)1025-1036
ISSN0034-4257
DOIs
Publication statusPublished - 2008

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