An ISAR Image Component Recognition Method Based on Semantic Segmentation and Mask Matching [PDF]
Sensors, 2023 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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Dual-band polarimetric HRRP recognition via a brain-inspired multi-channel fusion feature extraction network [PDF]
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 +16 more
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Target Identification with Improved 2D-VMD for Carrier-Free UWB Radar [PDF]
Sensors, 2021 In recent years, the interest in radar automatic target recognition (RATR) based on the carrier-free ultra-wideband (UWB) radar has been increasing.
Yuying Zhu +3 more
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Radar Target Characterization and Deep Learning in Radar Automatic Target Recognition: A Review [PDF]
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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Attention-Based Recurrent Temporal Restricted Boltzmann Machine for Radar High Resolution Range Profile Sequence Recognition [PDF]
Sensors, 2018 The High Resolution Range Profile (HRRP) recognition has attracted great concern in the field of Radar Automatic Target Recognition (RATR). However, traditional HRRP recognition methods failed to model high dimensional sequential data efficiently and ...
Yifan Zhang +4 more
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Radar HRRP Target Recognition Based on Dynamic Learning with Limited Training Data [PDF]
Remote Sensing, 2021 For high-resolution range profile (HRRP)-based radar automatic target recognition (RATR), adequate training data are required to characterize a target signature effectively and get good recognition performance.
Jingjing Wang +3 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 Deep Learning-Based Satellite Target Recognition Method Using Radar Data [PDF]
Sensors, 2019 A novel satellite target recognition method based on radar data partition and deep learning techniques is proposed in this paper. For the radar satellite recognition task, orbital altitude is introduced as a distinct and accessible feature to divide ...
Wang Lu +4 more
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Physics-Guided Dual-Branch Fusion Model for High-Resolution Range Profile Target Recognition [PDF]
SensorsHigh-resolution range profile (HRRP) target recognition has advanced with deep learning, yet most existing methods rely primarily on data-driven feature extraction and still face challenges in physical interpretability and noise robustness.
Ziheng Xia +3 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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