Results 11 to 20 of about 2,823 (249)

Adaptively Segmenting Angular Sectors for Radar HRRP Automatic Target Recognition

EURASIP Journal on Advances in Signal Processing, 2008
In this paper the manifold geometry in radar high-resolution range profile (HRRP) is firstly explored, and then, according to the characteristics of target pose sensitivity, a method of adaptively segmenting the aspect sectors is proposed for HRRP ...
Zheng Bao, Li Yuan, Hongwei Liu, Bo Chen
doaj   +3 more sources

Synthetic Aperture Radar Automatic Target Recognition Based on a Simple Attention Mechanism.

International Journal of Interactive Multimedia and Artificial Intelligence, 2023
A simple but effective channel attention module is proposed for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). The channel attention technique has shown recent success in improving Deep Convolutional Neural Networks (CNN ...
Chiagoziem C. Ukwuoma, Qin Zhiguang, Bole W. Tienin, Sophyani B. Yussif, Chukwuebuka J. Ejiyi, Gilbert C. Urama, Chibueze D. Ukwuoma, Ijeoma A. Chikwendu   +7 more
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Radar Automatic Target Open Set Recognition Based on Cluster Boundary Detection

IEEE Access
Radar automatic target recognition has developed significantly in recent years. Previous works mainly aim at addressing the closed set recognition problem, whose test set and training set have the same categories of the targets.
Ziheng Xia, Mengdie Wu
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Automatic Sample Labeling Method for Radar Target Recognition

Journal of Physics: Conference Series, 2022
Rapid and accurate recognition of target types is one of the key problems that must be solved to improve radar detection and perception performance. However, the existing radar target recognition technology faces the problems of low efficiency and low quality of sample labeling in practical application.
Jingming Sun, Qiang Zhang, Jingbei Yang, Yuhao Yang   +3 more
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A HYBRID NEURAL NETWORK FRAMEWORK AND APPLICATION TO RADAR AUTOMATIC TARGET RECOGNITION [PDF]

2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018
Deep neural networks (DNNs) have found applications in diverse signal processing (SP) problems. Most efforts either directly adopt the DNN as a black-box approach to perform certain SP tasks without taking into account of any known properties of the signal models, or insert a pre-defined SP operator into a DNN as an add-on data processing stage.
Zhe Zhang 0026, Xiang Chen 0010, Zhi Tian   +2 more
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FEF-Net: A Deep Learning Approach to Multiview SAR Image Target Recognition

Remote Sensing, 2021
Synthetic aperture radar (SAR) is an advanced microwave imaging system of great importance. The recognition of real-world targets from SAR images, i.e., automatic target recognition (ATR), is an attractive but challenging issue.
Jifang Pei, Zhiyong Wang, Xueping Sun, Weibo Huo, Yin Zhang, Yulin Huang, Junjie Wu, Jianyu Yang   +7 more
doaj   +1 more source

Robust High Resolution Range Profile Recognition Method for Radar Targets in Noisy Environments

Leida xuebao, 2020
With the application of deep learning technology in the radar target recognition field, the automatic extraction of the target feature greatly improves the accuracy and robustness of the recognition, but its robustness in noisy environments needs to be ...
Weijie LI, Wei YANG, Xiang LI, Yongxiang LIU   +3 more
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Electromagnetic Scattering Characteristic Extraction and Imaging Recognition Algorithm: A Review

Leida xuebao, 2022
One remarkable trend in applying synthetic aperture radar technology is the automatic interpretation of Synthetic Aperture Radar (SAR) images. The electromagnetic scattering characteristics have a robust correlation with the target structure, which ...
Mengdao XING, Yiyuan XIE, Yuexin GAO, Jinsong ZHANG, Jiaming LIU, Zhixin WU   +5 more
doaj   +1 more source

Dual-band polarimetric HRRP recognition via a brain-inspired multi-channel fusion feature extraction network

Frontiers in Neuroscience, 2023
Radar high-resolution range profile (HRRP) provides geometric and structural information of target, which is important for radar automatic target recognition (RATR).
Wei Yang, Wei Yang, Qiang Zhou, Qiang Zhou, Mingchen Yuan, Mingchen Yuan, Yang Li, Yang Li, Yang Li, Yang Li, Yanhua Wang, Yanhua Wang, Yanhua Wang, Yanhua Wang, Yanhua Wang, Liang Zhang, Liang Zhang   +16 more
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An Approach to Automatic Target Recognition in Radar Images Using SVM [PDF]

, 2006
This paper introduces an Automatic Target Recognition (ATR) method based on X Band Radar image processing. A software which implements this method was developed following four principal stages: digital image formation, image preprocessing, feature selection through a combination of C4.5 Decision Tree and PCA and classification using SVM.
Noslén Hernández-González, José Luís Gil Rodríguez, Jorge A. Martin, Francisco Silva-Mata, Ricardo González-Gazapo, Raúl Álvarez   +5 more
openaire   +1 more source