Investigation of Alternative Iteration Schemes for the IR-MAD Algorithm

Morton John Canty, Allan Aasbjerg Nielsen

AbstractThe 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.
Keywordschange detection, canonical correlations, radiometric normalization, IR-MAD
TypeConference paper [With referee]
ConferenceProceedings SPIE Europe Remote Sensing Conference
Year2007    Month September    Vol. 6748    No. 8
AddressFlorence, Italy
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics, Geoinformatics