Automatic target recognition on synthetic aperture radar imagery: A survey
O Kechagias-Stamatis, N Aouf - IEEE Aerospace and Electronic …, 2021 - ieeexplore.ieee.org
Automatic target recognition (ATR) for military applications is one of the core processes
toward enhancing intelligence and autonomously operating military platforms. Spurred by …
toward enhancing intelligence and autonomously operating military platforms. Spurred by …
Multiscale CNN based on component analysis for SAR ATR
Y Li, L Du, D Wei - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
This article proposes a multiscale convolutional neural network (CNN) based on component
analysis (CA-MCNN) for synthetic aperture radar (SAR) automatic target recognition (ATR) …
analysis (CA-MCNN) for synthetic aperture radar (SAR) automatic target recognition (ATR) …
Transfer learning with deep convolutional neural network for SAR target classification with limited labeled data
Tremendous progress has been made in object recognition with deep convolutional neural
networks (CNNs), thanks to the availability of large-scale annotated dataset. With the ability …
networks (CNNs), thanks to the availability of large-scale annotated dataset. With the ability …
Semi-supervised SAR target detection based on an improved faster R-CNN
L Liao, L Du, Y Guo - Remote Sensing, 2021 - mdpi.com
In the remote sensing image processing field, the synthetic aperture radar (SAR) target-
detection methods based on convolutional neural networks (CNNs) have gained remarkable …
detection methods based on convolutional neural networks (CNNs) have gained remarkable …
Perspective on explainable SAR target recognition
GUO Weiwei, Z Zenghui, YU Wenxian, SUN Xiaohua - 雷达学报, 2020 - radars.ac.cn
Abstract SAR Automatic Target Recognition (ATR) is a key task in microwave remote
sensing. Recently, Deep Neural Networks (DNNs) have shown promising results in SAR …
sensing. Recently, Deep Neural Networks (DNNs) have shown promising results in SAR …
A deep convolutional generative adversarial networks (DCGANs)-based semi-supervised method for object recognition in synthetic aperture radar (SAR) images
Synthetic aperture radar automatic target recognition (SAR-ATR) has made great progress
in recent years. Most of the established recognition methods are supervised, which have …
in recent years. Most of the established recognition methods are supervised, which have …
Rotation awareness based self-supervised learning for SAR target recognition with limited training samples
Z Wen, Z Liu, S Zhang, Q Pan - IEEE Transactions on Image …, 2021 - ieeexplore.ieee.org
The scattering signatures of a synthetic aperture radar (SAR) target image will be highly
sensitive to different azimuth angles/poses, which aggravates the demand for training …
sensitive to different azimuth angles/poses, which aggravates the demand for training …
Adversarial examples for CNN-based SAR image classification: An experience study
Synthetic aperture radar (SAR) has all-day and all-weather characteristics and plays an
extremely important role in the military field. The breakthroughs in deep learning methods …
extremely important role in the military field. The breakthroughs in deep learning methods …
Saliency-guided single shot multibox detector for target detection in SAR images
L Du, L Li, D Wei, J Mao - IEEE Transactions on Geoscience …, 2019 - ieeexplore.ieee.org
The single shot multibox detector (SSD), a proposal-free method based on convolutional
neural network (CNN), has recently been proposed for target detection and has found …
neural network (CNN), has recently been proposed for target detection and has found …
[HTML][HTML] SAR 图像目标识别的可解释性问题探讨
郭炜炜， 张增辉， 郁文贤， 孙效华 - 雷达学报, 2020 - radars.ac.cn
SAR图像目标识别的可解释性问题探讨 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SAR卫星地物类型 …
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SAR卫星地物类型 …