Air-and spaceborne synthetic aperture radar (SAR) can provide a large number of high-
resolution images for microwave remote sensing applications, such as geoscience and …

Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …

In recent years, sparsity-driven regularization and compressed sensing (CS)-based radar
imaging methods have attracted significant attention. This paper provides an introduction to …

This article presents a survey of recent research on sparsity-driven synthetic aperture radar
(SAR) imaging. In particular, it reviews 1) the analysis and synthesis-based sparse signal …

Compressive sensing (CS) and matrix sensing (MS) techniques have been applied to the
synthetic aperture radar (SAR) imaging problem to reduce the sampling amount of SAR …

The sparsity-driven technique is a widely used tool to solve the synthetic aperture radar
(SAR) imaging problem. However, it always encounters sensitivity to motion errors. To solve …

For inverse synthetic aperture radar imagery, the inherent sparsity of the scatterers in the
range-Doppler domain has been exploited to achieve a high-resolution range profile or …

This paper presents a novel inverse synthetic aperture radar (ISAR) imaging method by
exploiting the inherent continuity of the scatterers on the target scene to obtain enhanced …

In this paper, we present a solution to the complex synthetic aperture radar (SAR) imaging
problem within a constrained optimization formulation where the objective function includes …

In recent years, the sparse signal processing technique has shown significant potential in
synthetic aperture radar (SAR) imaging, such as image performance improvement and …