Tracking and refocussing of moving targets in multichannel SAR data

Abstract

Moving targets in Synthetic Aperture Radar (SAR) data impose several challenges for SAR processing. In full-aperture SAR images, moving objects appear smeared and/or displaced. In previous studies, we showed that a combination of sub-aperture processing, feature extraction, unscented Kalman filtering and multi-target hypotheses can reliably detect and track moving objects. In this paper, we present some extensions to the tracking algorithm itself, show results on a newly acquired data set and demonstrate how the estimated trajectories of the moving objects can be utilized to refocus the originally smeared objects. TRACKING AND REFOCUSSING OF MOVING TARGETS IN MULTICHANNEL SAR DATA Daniel Henke, Erich MeierRemote Sensing Laboratories (RSL), University of Zurich ABSTRACTMoving targets in Synthetic Aperture Radar (SAR) data impose several challenges for SAR processing. In fullaperture SAR images, moving objects appear smeared and/or displaced. In previous studies, we showed that a combination of sub-aperture processing, feature extraction, unscented Kalman filtering and multi-target hypotheses can reliably detect and track moving objects. In this paper, we present some extensions to the tracking algorithm itself, show results on a newly acquired data set and demonstrate how the estimated trajectories of the moving objects can be utilized to refocus the originally smeared objects.