Elastic Net Regularization for SAR Imaging from Incomplete Data

摘要

Missing radar pulses cause severe artifacts in common synthetic aperture radar images. In this paper, the SAR processor is regularized using the elastic net approach - an additive combination of l1- and l2-norm - for reducing those artifacts and the noise level. Real data examples show the effectiveness of this approach.