Radar waveform diversity has received considerable attention in recent years due to
increasing spectral congestion and the burgeoning capabilities of digital waveform …

This paper proposes a synthetic aperture radar (SAR) automatic target recognition approach
based on a global scattering center model. The scattering center model is established offline …

Radar automatic target recognition (RATR) based on high-resolution range profiles
(HRRPs) has received intensive attention in recent years. The data-driven HRRP …

This paper presents a forward approach to establish parametric scattering center models for
known complex radar targets. In this approach, an automatic technique based on ray tracing …

Although the deep convolutional neural network (DCNN) has been successfully applied to
automatic target recognition (ATR) of ground vehicles based on synthetic aperture radar …

Inverse synthetic aperture radar (ISAR) object detection is one of the most important and
challenging problems in computer vision tasks. To provide a convenient and high-quality …

In this article, an automatic and forward method is realized to establish attributed scattering
center models directly from the computer-aided design (CAD) model of the complex target …

The theory of compressed sensing (CS) states that an unknown sparse signal can be
accurately recovered from a limited number of measurements by solving a sparsity …

Most of the existing Non-Cooperative Target Recognition (NCTR) systems follow the “closed
world” assumption, ie, they only work with what was previously observed. Nevertheless, the …

A 2-D range/cross-range radar image of a target is always sparse since only a few strong
scattering centers occupy the whole image plane, and thus, it is quite suitable to apply the …