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Elastic net regularization for SAR imaging from incomplete data

 
: Prünte, L.

Verband Deutscher Elektrotechniker e.V. -VDE-, Berlin; Informationstechnische Gesellschaft -ITG-:
EUSAR 2018, 12th European Conference on Synthetic Aperture Radar : 5-7 June 2018, Aachen, Germany; Electronic Proceedings; DVD
Berlin: VDE-Verlag, 2018
ISBN: 978-3-8007-4636-1
ISBN: 3-8007-4636-0
S.1447-1452
European Conference on Synthetic Aperture Radar (EUSAR) <12, 2018, Aachen>
Englisch
Konferenzbeitrag
Fraunhofer FHR ()

Abstract
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 of1- and2-norm - for reducing those artifacts and the noise level. Real data examples show the effectiveness of this approach. © VDE VERLAG GMBH à Berlin à Offenbach.

: http://publica.fraunhofer.de/dokumente/N-520608.html