Automatic target recognition (ATR) algorithms are used to classify a given synthetic aperture
radar (SAR) image into one of the known target classes by using the information gleaned …

We present a compressive radar design that combines multitone linear frequency modulated
(LFM) waveforms in the transmitter with a classical stretch processor and sub-Nyquist …

We study different modeling approaches to anisotropic scattering from man-made objects to
derive novel solutions to the 3D imaging problem from multi-pass circular synthetic aperture …

A synthetic aperture radar (SAR) collects samples of the three-dimensional (3D) spatial
Fourier transform of the scene on a two dimensional conical manifold corresponding to the …

Generative models learned from training using deep learning methods can be used as
priors in under-determined inverse problems, including imaging from sparse set of …

Here, the authors study the modelling of bistatic synthetic aperture radar (SAR) target
signatures. They focus on building concise models inspired by physical phenomenology that …

Synthetic aperture radar (SAR) collects samples of the 3D Spatial Fourier transform on a two-
dimensional manifold corresponding to the backscatter data of wideband pulses launched …

Synthetic aperture radar (SAR) collects samples of the 3D Spatial Fourier transform on a two-
dimensional surfaces corresponding to the backscatter data of wideband pulses launched …

Ice sheets are fundamental components of the Earth's system that impact the climate through
their contribution to global sea level. Knowledge of an ice sheet's internal temperature is …

The wavelength used for illumination dictates the scale of the mechanisms that interact with
the incident electromagnetic (EM) energy. We model the synthetic Aperture Radar Image of …