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 …

This study proposes a novel non‐negative matrix factorisation (NMF) variant L1/2‐NMF after
visualisation and analysis of the process of target recognition via NMF for synthetic aperture …

Signal processing relies heavily on data models; these are mathematical constructions
imposed on the data source that force a dimensionality reduction of some sort. The vast …

Microwave array 3-D imaging is an emerging technique capable of producing a 3-D map of
scattered electric fields. Its all-weather and large scene imaging features make it an …

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 …

The reconstruction of synthetic aperture radar (SAR) images from phase history data is an ill-
posed inverse problem which, in several lines of recent work, is solved by minimizing a cost …

Synthetic aperture radar (SAR) has extensive applications in both civilian and military fields
for its ability to create high-resolution images of the ground target without being affected by …

A novel compressive sensing (CS) algorithm for synthetic aperture radar (SAR) imaging is
proposed which is called as the two-dimensional double CS algorithm (2-D-DCSA). We first …