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Automatic Target Recognition from an Engineering Perspective

Leida xuebao, 2022
Automatic Target Recognition (ATR) is a special engineering application field which is closely related to signal and information processing, pattern recognition, artificial intelligence and other disciplines.
Wenxian YU
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Review of Automatic Target Recognition Evaluation Method Development

Leida xuebao, 2023
Automatic Target Recognition (ATR) is an interdisciplinary technological field related to pattern recognition, artificial intelligence, and information processing. ATR evaluation focuses on accessing ATR algorithms and systems.
Jun HE, Ruigang FU, Qiang FU
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When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation

Remote Sensing, 2020
With the recent advances of deep learning, automatic target recognition (ATR) of synthetic aperture radar (SAR) has achieved superior performance.
Chenwei Wang, Jifang Pei, Zhiyong Wang, Yulin Huang, Junjie Wu, Haiguang Yang, Jianyu Yang   +6 more
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An Integrated Counterfactual Sample Generation and Filtering Approach for SAR Automatic Target Recognition with a Small Sample Set

Remote Sensing, 2021
Although automatic target recognition (ATR) models based on data-driven algorithms have achieved excellent performance in recent years, the synthetic aperture radar (SAR) ATR model often suffered from performance degradation when it encountered a small ...
Changjie Cao, Zongyong Cui, Zongjie Cao, Liying Wang, Jianyu Yang   +4 more
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Multiview Deep Feature Learning Network for SAR Automatic Target Recognition

Remote Sensing, 2021
Multiview synthetic aperture radar (SAR) images contain much richer information for automatic target recognition (ATR) than a single-view one. It is desirable to establish a reasonable multiview ATR scheme and design effective ATR algorithm to thoroughly
Jifang Pei, Weibo Huo, Chenwei Wang, Yulin Huang, Yin Zhang, Junjie Wu, Jianyu Yang   +6 more
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Rotation Invariant Automatic Infrared Target Recognition using G-Radon

MATEC Web of Conferences, 2016
In recent research, automatic target recognition (ATR) of infrared targets has been taking a lot of interest to the researchers. A rotation invariant method is useful in target recognition, classification and image analysis to reduce the number of ...
Won Jin-Ju, Kim Sungho
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Frequency Characteristics Guided Network for Few-Shot SAR Target Recognition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Contemporary research in synthetic aperture radar (SAR) automatic target recognition (ATR) reveals that few-shot learning algorithms can attain exceptional classification accuracy through training paradigms employing several hundred to thousands of ...
Fei Gao, Fengjun Zhong, Rongling Lang, Jun Wang, Jinping Sun, Amir Hussain   +5 more
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An Infrared Sequence Image Generating Method for Target Detection and Tracking

Frontiers in Computational Neuroscience, 2022
Training infrared target detection and tracking models based on deep learning requires a large number of infrared sequence images. The cost of acquisition real infrared target sequence images is high, while conventional simulation methods lack ...
Huang Zhijian, Huang Zhijian, Hui Bingwei, Sun Shujin   +3 more
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FEF-Net: A Deep Learning Approach to Multiview SAR Image Target Recognition

Remote Sensing, 2021
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, Zhiyong Wang, Xueping Sun, Weibo Huo, Yin Zhang, Yulin Huang, Junjie Wu, Jianyu Yang   +7 more
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A Measurement Image Translation-Automatic Target Recognition Technique Based on CycleGAN with SAR Simulation DB [PDF]

Journal of Electromagnetic Engineering and Science, 2022
The proposed approach achieves the reliable accuracy of synthetic aperture radar-automatic target recognition (SAR-ATR) with a simulation database.
Seung Mo Seo, Yeoreum Choi, Ho Lim, Dae-Young Chae   +3 more
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