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 …

Ship detection is an essential maritime security requirement. Current state-of-the-art
synthetic aperture radar (SAR) based ship detection methods employ fully focused images …

In the face of synthetic aperture radar (SAR) image object detection with different
distributions of training and test data, traditional supervised learning methods cannot …

This article addresses the problem of direct signal interference (DSI) and clutter cancellation
for passive radar systems on moving platforms employing displaced phase centre antenna …

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

Spotlight synthetic aperture radar (SAR) achieves a high azimuth resolution with long
integration times. Meanwhile, the long integration times also cause defocused and smeared …

In this paper, a new moving target detection algorithm for single channel circular Synthetic
Aperture Radar (SAR) is presented. Circular SAR can perform observation with circular …

For a single-channel synthetic aperture radar (SAR), finite-pulse repetition frequency and
nonideal antenna pattern cause azimuth ambiguities, ie, ghosts in image domain. In this …

Sea surface current is a research hotspot in oceanography. Space-borne along-track
interferometric synthetic aperture radar (along-track InSAR, ATI) is a promising sensor for …

In azimuth multichannel high-resolution and wide-swath (AMC-HRWS) synthetic aperture
radar (SAR) system, undersampling of azimuth signal results in the failure of the single …