Radar Target Characterization and Deep Learning in Radar Automatic Target Recognition: A Review
Remote Sensing, 2023 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]
Sensors, 2017 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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A Multiple Radar Approach for Automatic Target Recognition of Aircraft using Inverse Synthetic Aperture Radar [PDF]
2018 1st International Conference on Data Intelligence and Security (ICDIS), 2018 Along with the improvement of radar technologies, Automatic Target Recognition (ATR) using Synthetic Aperture Radar (SAR) and Inverse SAR (ISAR) has come to be an active research area.
Cantu, Angel +8 more
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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
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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 ...
Chen, Xiang, Tian, Zhi, Zhang, Zhe
core +2 more sources
Support subspaces method for synthetic aperture radar automatic target recognition [PDF]
International Journal of Advanced Robotic Systems, 2016 This article offers a new object recognition approach that gives high quality using synthetic aperture radar images. The approach includes image preprocessing, clustering and recognition stages.
Vladimir Fursov +2 more
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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 +7 more
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Automatic Target Recognition in Synthetic Aperture Radar Imagery: A State-of-the-Art Review
IEEE Access, 2016 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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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
doaj +1 more source
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
doaj +1 more source