Results 11 to 20 of about 48,420 (287)
Survey of Radar HRRP Target Recognition Based on Parametric Statistical Model
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
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 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 +4 more
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An ISAR Image Component Recognition Method Based on Semantic Segmentation and Mask Matching
The inverse synthetic aperture radar (ISAR) image is a kind of target feature data acquired by radar for moving targets, which can reflect the shape, structure, and motion information of the target, and has attracted a great deal of attention from the ...
Xinli Zhu +4 more
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Automatic Sample Labeling Method for Radar Target Recognition
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 +3 more
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FEF-Net: A Deep Learning Approach to Multiview SAR Image Target Recognition
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 +7 more
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Robust High Resolution Range Profile Recognition Method for Radar Targets in Noisy Environments
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 +3 more
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Electromagnetic Scattering Characteristic Extraction and Imaging Recognition Algorithm: A Review
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 +5 more
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Radar high-resolution range profile (HRRP) provides geometric and structural information of target, which is important for radar automatic target recognition (RATR).
Wei Yang +16 more
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Automatic recognition of military vehicles with Krawtchouk moments [PDF]
The challenge of Automatic Target Recognition (ATR) of military targets within a Synthetic Aperture Radar (SAR) scene is addressed in this paper. The proposed approach exploits the discrete defined Krawtchouk moments, that are able to represent a ...
Clemente, Carmine +4 more
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