Elastic Net Regularization for SAR Imaging from Incomplete Data

Konferenz: EUSAR 2018 - 12th European Conference on Synthetic Aperture Radar
04.06.2018 - 07.06.2018 in Aachen, Germany

Tagungsband: EUSAR 2018

Seiten: 6Sprache: EnglischTyp: PDF

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Pruente, Ludger (Fraunhofer FHR, Germany)

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.