Paper
29 October 2007 Investigation of alternative iteration schemes for the IR-MAD algorithm
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Morton J. Canty and Allan A. Nielsen "Investigation of alternative iteration schemes for the IR-MAD algorithm", Proc. SPIE 6748, Image and Signal Processing for Remote Sensing XIII, 674808 (29 October 2007); https://doi.org/10.1117/12.736409
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Cited by 3 scholarly publications.
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KEYWORDS
Copper

Earth observing sensors

Image fusion

Landsat

Composites

Data centers

Remote sensing

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