An Accurate SAR Imaging Method Based on Generalized Minimax Concave Penalty

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

Persönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt

Wei, Zhonghao; Xu, Zhilin (University of Chinese Academy of Science & Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, Institute of Electronics, Chinese Academy of Sciences, China)
Zhang, Bingchen; Han, Bing; Hong, Wen (National Key Laboratory of Microwave imaging Technology & Institute of Electronics, Chinese Academy of Scienecs, P.R. China)
Wu, YiRong (Institute of Electronics, Chinese Academy of Sciences, China)

Sparse signal processing has been applied in synthetic aperture radar (SAR) imaging successfully. As a typical sparse reconstruction model, L1 regularization often underestimates the intensities of the targets. The estimated radar cross section (RCS) is related to the pixel intensity. The underestimation will cause the errors in RCS estimations. In this paper, we present a SAR imaging method based on generalized minimax convex (GMC) penalty, which can avoid the pixel intensity underestimation. The performance of the proposed method is verified using simulations and real data.