The Regularized Iteratively Reweighted MAD Method for Change Detection in Multi- and Hyperspectral Data

Abstract

This paper describes new extensions to the previously published multivariate alteration detection (MAD) method for change detection in bi-temporal, multi- and hypervariate data such as remote sensing imagery. Much like boosting methods often applied in data mining work, the iteratively reweighted (IR) MAD method in a series of iterations places increasing… (More)
DOI: 10.1109/TIP.2006.888195

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