Compressive Sensing Inverse Synthetic Aperture Radar Imaging Based on Gini Index Regularization
نویسندگان
چکیده
منابع مشابه
Compressive Sensing Inverse Synthetic Aperture Radar Imaging Based on Gini Index Regularization
In compressive sensing (CS) based inverse synthetic aperture radar (ISAR) imaging approaches, the quality of final image significantly depends on the number of measurements and the noise level. In this paper, we propose an improved version of CSbased method for inverse synthetic aperture radar (ISAR) imaging. Different from the traditional l1 norm based CS ISAR imaging method, our method explor...
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1The school of ITEF, The University of Queensland, Brisbane 4072, Australia 2Department of Information Engineering, University of Pisa, Via G. Caruso 16, 56122 Pisa, Italy 3 School of Information Technology & Electrical Engineering, University of Queensland, Brisbane 4072, Australia 4Radar Modelling & Analysis Group, Electronic Warfare & Radar Division, Defence Science & Technology Organisation...
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ژورنال
عنوان ژورنال: International Journal of Automation and Computing
سال: 2014
ISSN: 1476-8186,1751-8520
DOI: 10.1007/s11633-014-0811-8