Change Detection with Misregistration Errors

Bi-date change detection and image registration are based on local similarity measures. When applied to Synthetic Aperture Radar (SAR) observations, the first one is based on the comparison of the local probability density functions (pdf) of the 2 images, while the latter is based on correlation or mutual information (MI) measure. A specific implementation of MI has been found to be efficient in change detection from heterogeneous SAR images as well as for SAR image registration. This implementation may be splitted in 2 terms and that can be linked to the change detection part and to the registration one respectively. Hence a set of measures are proposed in order to perform similarity measure for change detection in homogeneous and heterogeneous SAR images that prevents from misregistration errors. This point of view has been applied to a set of Radarsat images and a pair or ERS images acquired in the frame of the International Charter Space and Major Disasters, corresponding to a lava flow and a flooding event.