| Abstract: | Various technologies pertaining to identification of vehicle tracks in
synthetic aperture radar coherent change detection image data are
described herein. Coherent change detection images are analyzed in a
parameter space using Radon transforms. Peaks of the Radon transforms
correspond to features of interest, including vehicle tracks, which are
identified and classified. New coherent change detection images in which
the features of interest and their characteristics are signified are then
generated using inverse Radon transforms. |