Results 11 to 20 of about 3,557 (290)

Automatic target recognition on land using three dimensional (3D) laser radar and artificial neural networks [PDF]

South African Journal of Industrial Engineering, 2013
During combat, measuring the dimensions of targets is extremely important for knowing when to fire on the enemy. The importance of identifying a known target on land emphasizes the importance of techniques devoted to automatic target recognition ...
Göztepe, K.
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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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Frequency Characteristics Guided Network for Few-Shot SAR Target Recognition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Contemporary research in synthetic aperture radar (SAR) automatic target recognition (ATR) reveals that few-shot learning algorithms can attain exceptional classification accuracy through training paradigms employing several hundred to thousands of ...
Fei Gao, Fengjun Zhong, Rongling Lang, Jun Wang, Jinping Sun, Amir Hussain   +5 more
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Survey of Radar HRRP Target Recognition Based on Parametric Statistical Model

Leida xuebao, 2022
In the gradually becoming information-based and intelligent modern warfare, Radar Automatic Target Recognition (RATR) technology plays an increasingly important role in military applications, such as national security defense and strategic early warning.
Jian CHEN, Lan DU, Leiyao LIAO
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A 3D U-Net Based on a Vision Transformer for Radar Semantic Segmentation

Sensors, 2023
Radar data can be presented in various forms, unlike visible data. In the field of radar target recognition, most current work involves point cloud data due to computing limitations, but this form of data lacks useful information.
Tongrui Zhang, Yunsheng Fan
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Radar High-Resolution Range Profile Ship Recognition Using Two-Channel Convolutional Neural Networks Concatenated with Bidirectional Long Short-Term Memory

Remote Sensing, 2021
Radar automatic target recognition is a critical research topic in radar signal processing. Radar high-resolution range profiles (HRRPs) describe the radar characteristics of a target, that is, the characteristics of the target that is reflected by the ...
Chih-Lung Lin, Tsung-Pin Chen, Kuo-Chin Fan, Hsu-Yung Cheng, Chi-Hung Chuang   +4 more
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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
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