Synthetic Aperture Radar Imaging from Wide-Angle Data with Frequency-Band Omissions

We consider the problem of wide-angle synthetic aperture radar (SAR) imaging from data with arbitrary frequency-band omissions. We propose an approach that involves composite image formation through combination of subaperture images, as well as point-enhanced, super-resolution image reconstruction. This framework provides a number of desirable features including preservation of anisotropic scatterers that do not persist over the full wide-angle aperture; robustness to bandwidth limitations and frequency-band omissions; as well as a characterization of the aspect dependence of scatterers. We demonstrate the effectiveness of the proposed approach through experiments based on electromagnetically simulated realistic data.