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 …
Synthetic Aperture Radar image analysis based on deep learning: A review of a decade of research
Artificial intelligence research in the area of computer vision teaches machines to
comprehend and interpret visual data. Machines can properly recognize and classify items …
comprehend and interpret visual data. Machines can properly recognize and classify items …
Mixed loss graph attention network for few-shot SAR target classification
Restricted by the observation condition, synthetic aperture radar (SAR) automatic target
classification based on deep learning usually suffers from insufficient training samples. To …
classification based on deep learning usually suffers from insufficient training samples. To …
Reweighted tensor factorization method for SAR narrowband and wideband interference mitigation using smoothing multiview tensor model
For the interference suppression problem on synthetic aperture radar (SAR) systems,
traditional methods have focused on how to remove one kind of interference through …
traditional methods have focused on how to remove one kind of interference through …
HRWS SAR narrowband interference mitigation using low-rank recovery and image-domain sparse regularization
Synthetic aperture radar (SAR), as a wideband radar system, may be subject to strong
interferences with a variety of signals. The narrowband interference (NBI) exemplifies the …
interferences with a variety of signals. The narrowband interference (NBI) exemplifies the …
[HTML][HTML] 合成孔径雷达抗干扰技术综述
黄岩， 赵博， 陶明亮， 陈展野， 洪伟 - 雷达学报, 2020 - radars.ac.cn
合成孔径雷达抗干扰技术综述 作者中心 专家审稿 责编办公 编辑办公 首页 优先发表 当期目录
过刊浏览 论文排行 1.引用排行 2.摘要浏览排行 3.HTML点击排行 4.全文下载排行 数据 1.雷达对海 …
过刊浏览 论文排行 1.引用排行 2.摘要浏览排行 3.HTML点击排行 4.全文下载排行 数据 1.雷达对海 …
Azimuth-aware discriminative representation learning for semi-supervised few-shot SAR vehicle recognition
L Zhang, X Leng, S Feng, X Ma, K Ji, G Kuang, L Liu - Remote Sensing, 2023 - mdpi.com
Among the current methods of synthetic aperture radar (SAR) automatic target recognition
(ATR), unlabeled measured data and labeled simulated data are widely used to elevate the …
(ATR), unlabeled measured data and labeled simulated data are widely used to elevate the …
SAR image classification: A comprehensive study and analysis
Deep learning has obtained wide attention in various fields enabling systems to derive
essential information from digital inputs. Lately, the use of deep learning in remote sensing …
essential information from digital inputs. Lately, the use of deep learning in remote sensing …
[HTML][HTML] SAR 图像飞机目标检测识别进展
郭倩， 王海鹏， 徐丰 - 雷达学报, 2020 - radars.ac.cn
目标检测与识别是高分辨合成孔径雷达(SAR) 领域的热点问题. 机场上飞机作为一种典型目标,
其检测和识别有一定的独特性. 该文回顾了SAR 图像典型目标检测识别领域技术的发展过程 …
其检测和识别有一定的独特性. 该文回顾了SAR 图像典型目标检测识别领域技术的发展过程 …
Feature-enhanced speckle reduction via low-rank and space-angle continuity for circular SAR target recognition
L Chen, X Jiang, Z Li, X Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the development of synthetic aperture radar (SAR) system, automatic target recognition
(ATR) has attracted wide attention in many decision-making tasks, in which an enhanced …
(ATR) has attracted wide attention in many decision-making tasks, in which an enhanced …