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 …

[HTML][HTML] 基于相空间重构的辐射源个体识别技术综述

赵雨睿, 黄知涛, 王翔 - 雷达学报, 2023 - radars.ac.cn
辐射源个体识别技术, 起源于雷达目标精确辨识任务, 旨在根据截获的电磁信号提取辐射源独有
的指纹特征, 并进一步辨识辐射源个体身份的技术. 相空间重构技术, 作为一种有效的时间序列 …

Semi-supervised specific emitter identification method using metric-adversarial training

X Fu, Y Peng, Y Liu, Y Lin, G Gui… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Specific emitter identification (SEI) plays an increasingly crucial and potential role in both
military and civilian scenarios. It refers to a process to discriminate individual emitters from …

Transductive Prototypical Attention Reasoning Network for Few-shot SAR Target Recognition

H Ren, S Liu, X Yu, L Zou, Y Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep-learning-based synthetic aperture radar (SAR) automatic target recognition (ATR)
algorithms have achieved outstanding performance under the condition of hundreds or …

Few-Shot Remote Sensing Image Scene Classification Based on Metric Learning and Local Descriptors

Z Yuan, C Tang, A Yang, W Huang, W Chen - Remote Sensing, 2023 - mdpi.com
Scene classification is a critical technology to solve the challenges of image search and
image recognition. It has become an indispensable and challenging research topic in the …

A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things

M Wang, C Xu, Y Lin, Z Lu, J Sun, G Gui - Future Internet, 2023 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the application of the IoT in the industrial field.
The development of fifth-generation (5G) communication technology has accelerated the …

Supervised Contrastive Learning for RFF Identification with Limited Samples

Y Peng, C Hou, Y Zhang, Y Lin, G Gui… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Radio frequency fingerprint (RFF), which comes from the imperfect hardware, is a potential
feature to ensure the security of communication. With the development of deep learning …

Few-Shot Specific Emitter Identification via Hybrid Data Augmentation and Deep Metric Learning

C Wang, X Fu, Y Wang, G Gui, H Gacanin… - arXiv preprint arXiv …, 2022 - arxiv.org
Specific emitter identification (SEI) is a potential physical layer authentication technology,
which is one of the most critical complements of upper layer authentication. Radio frequency …

Semi-Supervised Specific Emitter Identification via Dual Consistency Regularization

X Fu, S Shi, Y Wang, Y Lin, G Gui… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Deep Learning (DL)-based Specific Emitter Identification (SEI) is a potential physical layer
authentication technique for Industrial Internet-of-Things (IIoT) Security, which detects the …

Specific Emitter Identification Using Adaptive Signal Feature Embedded Knowledge Graph

M Hua, Y Zhang, J Sun, B Adebisi… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Specific emitter identification (SEI) plays an important role in secure Industrial Internet of
Things (IIoT). In recent years, many SEI methods based on machine learning (ML) and deep …