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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, Yanping Wang, Yang Li, Yun Lin, Wenjie Shen   +4 more
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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, Yasheng Zhang, Wang Lu, Yuqiang Fang, Jun He   +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, Wei Yang, Qiang Zhou, Qiang Zhou, Mingchen Yuan, Mingchen Yuan, Yang Li, Yang Li, Yang Li, Yang Li, Yanhua Wang, Yanhua Wang, Yanhua Wang, Yanhua Wang, Yanhua Wang, Liang Zhang, Liang Zhang   +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, Shuning Zhang, Huichang Zhao, Si Chen   +3 more
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Radar HRRP Target Recognition Based on Dynamic Learning with Limited Training Data

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, Zheng Liu, Rong Xie, Lei Ran   +3 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, Xunzhang Gao, Xuan Peng, Jiaqi Ye, Xiang Li   +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, Weimin Bao, Luping Xu, Hua Zhang   +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, Yasheng Zhang, Can Xu, Caiyong Lin, Yurong Huo   +4 more
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Convolutional neural networks for radar HRRP target recognition and rejection

EURASIP Journal on Advances in Signal Processing, 2019
Robust and efficient feature extraction is critical for high-resolution range profile (HRRP)-based radar automatic target recognition (RATR). In order to explore the correlation between range cells and extract the structured discriminative features in ...
Jinwei Wan, Bo Chen, Bin Xu, Hongwei Liu, Lin Jin   +4 more
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Physically Consistent Radar High-Resolution Range Profile Generation via Spectral-Aware Diffusion for Robust Automatic Target Recognition Under Data Scarcity

Remote Sensing
High-Resolution Range Profile (HRRP) represents the electromagnetic backscattering distribution of targets and plays a pivotal role in remote-sensing-based Automatic Target Recognition (RATR).
Shuai Li, Yu Wang, Jingyang Xie, Biao Tian   +3 more
doaj   +2 more sources