The microwave photonic (MWP) radar has the capability of generating ultrawideband (UWB)
signals. It is a challenge to realize accurate extraction of attributed scattering centers (ASCs) …

We investigate the problem of obtaining dense 3D reconstruction from airborne multi-aspect
synthetic aperture radar (SAR) image sequences. Dense 3D reconstructions of multi-view …

Wavenumber domain algorithms have unique advantages in processing highly squinted
synthetic aperture radar data. This article studies the performance of three commonly used …

In this paper, we propose an unsupervised image-to-image translation (UNIT) network as a
deep learning-based motion compensation method to compensate for phase errors that may …

A terahertz (THz) airborne synthetic aperture radar (SAR) with a carrier frequency of up to
220 GHz is developed. However, due to the short wavelength of THz, the motion …

Deep learning and convolutional neural networks (CNN) have been widely applied in
polarimetric synthetic aperture radar (PolSAR) image classification, and satisfactory results …

The ground-Cartesian factorized back-projection (G-CFBP) is an efficient time-domain
processing algorithm without image interpolation and can realize accurate imaging for …

It is of great significance to detect drones in airspace due to the substantial increase and
regrettable misuse in the consumer market. In this paper, we establish a micro-motion …

In the area of synthetic aperture radar (SAR), the ultrahigh resolution is always a continuous
pursuit for researchers. To realize ultrahigh resolution, microwave photonics technology is …

The radar imaging method, based on matched filtering (MF), generates high gratings and
sidelobes in sparse aperture data, resulting in artifacts in the radar image. The theory of …