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Proceedings Paper

Investigation of alternative iteration schemes for the IR-MAD algorithm
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Paper Abstract

The iteratively re-weighted multivariate alteration detection (IR-MAD) transformation is proving to be very successful for multispectral change detection and automatic radiometric normalization applications in remote sensing. Various alternatives exist in the way in which the weights (no-change probabilities) are calculated during the iteration procedure. These alternatives are compared quantitatively on the basis of multispectral imagery from different sensors under a range of ground cover conditions exhibiting wide variations in the amount of change present, as well as with a partially artificial data set simulating truly time-invariant observations. A best re-weighting procedure is recommended.

Paper Details

Date Published: 29 October 2007
PDF: 10 pages
Proc. SPIE 6748, Image and Signal Processing for Remote Sensing XIII, 674808 (29 October 2007); doi: 10.1117/12.736409
Show Author Affiliations
Morton J. Canty, Forschungszentrum Juelich GmbH (Germany)
Allan A. Nielsen, Danmarks Tekniske Univ. (Denmark)


Published in SPIE Proceedings Vol. 6748:
Image and Signal Processing for Remote Sensing XIII
Lorenzo Bruzzone, Editor(s)

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