Radar target detection (RTD) is a fundamental but important process of the radar system,
which is designed to differentiate and measure targets from a complex background. Deep …

海杂波背景下雷达目标特征检测方法的现状与展望 作者中心 专家审稿 责编办公 编辑办公 首页
论文 1.当期论文 2.全部论文 3.优先发表 数据 1.雷达对海探测数据 2.SAR样本数据集 3.多源 …

A comprehensive and well-structured review on the application of deep learning (DL) based
algorithms, such as convolutional neural networks (CNN) and long-short term memory …

This paper presents one feature-based detector to find sea-surface floating small targets. In
integration time of the order of seconds, target returns exhibit time-frequency (TF) …

Radar target detection in sea clutter is of significance to both the civil and military
applications. With the miniaturization and invisibility of sea targets, Small Floating Targets …

In this article, we propose the false-alarm-rate-controllable (FAC) classification of sea clutter
recurrence plots (RPs) based on convolutional neural networks (CNNs), which is shortened …

This paper aims to develop a feature-based detector using seven existing salient features of
radar returns to improve the detection ability of high-resolution maritime ubiquitous radars to …

Marine surveillance radar is widely used in marine monitoring for its ability of observing sea
surface all-time and all-weather. However, the radar target detection performance is …

This article considers radar detection and tracking of weak fluctuating targets using dynamic
programming (DP)-based track-before-detect (TBD). The clutter is modeled using a Weibull …

Target detection in sea clutter is of great significance in military radar research. Because the
characteristics of sea clutter are complex and easily affected by wind direction, the method of …