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 …

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 …

A method of motion status estimation of airborne synthetic aperture radar (SAR) platform in
short subapertures via parametric sparse representation is proposed for high-resolution …

The sparse imaging method based on compressed sensing (CS) is widely used in the field
of millimeter-wave (MMW) synthetic aperture radar (SAR) imaging. However, 3-D sparse …

Due to its flexibility and low cost, the bistatic forward-looking synthetic aperture radar
(BFSAR) which employs side-looking transmitter and forward-looking receiver has been …

Clutter suppression and ground moving target imaging in synthetic aperture radar (SAR)
system have been receiving increasing attention for both civilian and military applications …

In synthetic aperture radar (SAR) imaging, perturbations in the motion of the moving platform
induce an undesired phase error due to imprecise knowledge of the motion, which results in …

In diffraction imaging, one is tasked with reconstructing a signal from its power spectrum. To
resolve the ambiguity in this inverse problem, one might invoke prior knowledge about the …

Sparse-representation-based synthetic aperture radar (SAR) imaging technology has shown
superior potential in the reconstruction of nonsparse scenes. However, many existing …