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Radar Target Characterization and Deep Learning in Radar Automatic Target Recognition: A Review
Radar automatic target recognition (RATR) technology is fundamental but complicated system engineering that combines sensor, target, environment, and signal processing technology, etc.
Wen Jiang +4 more
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Clustered Multi-Task Learning for Automatic Radar Target Recognition [PDF]
Model training is a key technique for radar target recognition. Traditional model training algorithms in the framework of single task leaning ignore the relationships among multiple tasks, which degrades the recognition performance.
Cong Li +3 more
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Automatic Target Recognition in Synthetic Aperture Radar Imagery: A State-of-the-Art Review
The purpose of this paper is to survey and assess the state-of-the-art in automatic target recognition for synthetic aperture radar imagery (SAR-ATR). The aim is not to develop an exhaustive survey of the voluminous literature, but rather to capture in ...
Khalid El-Darymli +4 more
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Air Target ISAR Recognition Based on Data Augmentation and Transfer Learning [PDF]
Aiming at the problems of extremely scarce measured samples and significant domain shift between simulated and measured data in automatic target recognition (ATR) of air targets for spaceborne radar, this paper proposes an inverse synthetic aperture ...
Moqian Wang +4 more
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Aiming at the problem of the difficulty of high-resolution synthetic aperture radar (SAR) image acquisition and poor feature characterization ability of low-resolution SAR image, this paper proposes a method of an automatic target recognition method for ...
Xiaoran Shi +4 more
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In the present study, a new algorithm for automatic target detection (ATR) in synthetic aperture radar (SAR) images has been proposed. First, moving and stationary target acquisition and recognition image chips have been segmented and then passed to a ...
Mehdi Amoon, Gholam‐ali Rezai‐rad
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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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