High resolution imaging techniques will play an essential role in the future smart imaging
applications to provide potential solutions for accurate detection, monitoring and …

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 …

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 …

Multi-circular SAR (MCSAR) can obtain holographic three-dimensional (3D) images of
interesting observation targets, which is a significant research field at present. For …

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 …

Collecting data in the near-field area of the radar using the spotlight mode based on the
linear array platform, and the three-dimensional imaging algorithm of the target within the …