A target SAR image expansion method based on conditional Wasserstein deep convolutional GAN for automatic target recognition
J Qin, Z Liu, L Ran, R Xie, J Tang… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
For the automatic target recognition (ATR) based on synthetic aperture radar (SAR) images,
enough training data are required to effectively characterize target features and obtain good …
enough training data are required to effectively characterize target features and obtain good …
Micro-Doppler based target classification in ground surveillance radar systems
R Amiri, A Shahzadi - Digital Signal Processing, 2020 - Elsevier
In this paper, we investigate effect of different Time-Frequency (TF) analysis of micro-
Doppler signature for robust and efficient automatic target classification in next-generation …
Doppler signature for robust and efficient automatic target classification in next-generation …
Radar HRRP target recognition based on dynamic learning with limited training data
J Wang, Z Liu, R Xie, L Ran - Remote Sensing, 2021 - mdpi.com
For high-resolution range profile (HRRP)-based radar automatic target recognition (RATR),
adequate training data are required to characterize a target signature effectively and get …
adequate training data are required to characterize a target signature effectively and get …
基于语义引导层次化分类的雷达地面目标HRRP 识别方法.
李阳， 刘艺辰， 张亮， 王彦华 - Journal of Signal Processing, 2024 - search.ebscohost.com
高分辨距离像(HRRP) 反映了目标空间散射结构在雷达视线方向的投影, 近年来被认为是地面
目标识别的重要途径. 现有的HRRP 识别方法采用手工特征加传统机器学习分类器 …
目标识别的重要途径. 现有的HRRP 识别方法采用手工特征加传统机器学习分类器 …
General Linear Chirplet Transform and Radar Target Classification
R Amiri, A Shahzadi - AUT Journal of Electrical Engineering, 2019 - eej.aut.ac.ir
In this paper, we design an attractive algorithm aiming to classify moving targets including
human, animal, vehicle and drone, at ground surveillance radar systems. The non-stationary …
human, animal, vehicle and drone, at ground surveillance radar systems. The non-stationary …