Imaging of ground multiple moving targets in a synthetic aperture radar (SAR) system is a
challenging task due to the fact that targets are defocused owing to motions and …

Motivated by recent advances in deep learning, a novel deep complex-valued convolutional
neural network (CV-CNN)-based method is proposed for ground moving target indication …

Detection and imaging of multiple moving targets is a challenging task, particularly with real
synthetic aperture radar (SAR) data. In this paper, moving targets with different motion …

As a new observation mode, wide-angle staring synthetic aperture radar ground moving
target indication (WasSAR-GMTI), which can observe the fixed area for a long time and …

Ground moving targets (GMT), due to the existence of velocity in range and azimuth
direction, will lead to the deviation from their true position and defocus in the azimuth …

Multichannel synthetic aperture radar ground moving target indication has been widely used
and get great attention nowadays. Traditional adaptive methods like space-time adaptive …

This paper develops a framework based on enhanced shadow-aided decision for
multichannel synthetic aperture radar-based ground moving target indication system …

A GEOsynchronous Spaceborne-Airborne Bistatic Synthetic Aperture Radar (GEO SA-
BSAR) system has been proven to be a significant tool for moving targets monitoring. Due to …

The ground moving target (GMT) is defocused due to unknown motion parameters in
synthetic aperture radar (SAR) imaging. Although the conventional Omega-K algorithm …

This paper presents a processing framework to separate moving targets from the clutter,
under multichannel synthetic aperture radar (SAR) scenarios, and addresses the moving …