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Abstracts : Sixth International Symposium on Antarctic Earth Sciences, National Women\u27s Education Center Ranzan-machi, Saitama, Japan 9-13 September 1991 [PDF]
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In recent years, radar automatic target recognition (RATR) utilizing high-resolution range profiles (HRRPs) has received significant attention. Approaches based on deep learning have demonstrated remarkable efficacy in HRRP recognition tasks.
Pengjun Huang +5 more
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Improving Black-box Adversarial Attacks on HRRP-based Radar Automatic Target Recognition
Radar, 2021In the field of high-resolution range profile (HRRP)-based radar automatic target recognition(RATR), deep learning has gradually become the mainstream. However, crafted adversarial samples will cause misclassification of deep neural network (DNN), which ...
Wei Lin +4 more
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IEEE Sensors Journal, 2023
High-resolution range profile (HRRP) is indispensable for modern radar automatic target recognition (RATR) systems and commonly has noisy background and misalignment along the range dimension.
Xianwen Zhang, Yao Wei, Wenying Wang
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High-resolution range profile (HRRP) is indispensable for modern radar automatic target recognition (RATR) systems and commonly has noisy background and misalignment along the range dimension.
Xianwen Zhang, Yao Wei, Wenying Wang
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IEEE Geoscience and Remote Sensing Letters, 2022
Over the past decades, radar high-resolution range profile (HRRP) has been one of the research highlights in the field of radar automatic target recognition (RATR) due to its advantages of easy acquisition, small amount of data, and rich target structure
Zhiqiang Zeng +3 more
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Over the past decades, radar high-resolution range profile (HRRP) has been one of the research highlights in the field of radar automatic target recognition (RATR) due to its advantages of easy acquisition, small amount of data, and rich target structure
Zhiqiang Zeng +3 more
semanticscholar +1 more source
IEEE Transactions on Information Forensics and Security, 2022
In recent years, deep neural networks are increasingly popular in the field of radar high-resolution range profiles (HRRPs) target recognition. Unfortunately, recent researches have revealed that a deep-learning classifier can be easily fooled by adding ...
Chuan Du +4 more
semanticscholar +1 more source
In recent years, deep neural networks are increasingly popular in the field of radar high-resolution range profiles (HRRPs) target recognition. Unfortunately, recent researches have revealed that a deep-learning classifier can be easily fooled by adding ...
Chuan Du +4 more
semanticscholar +1 more source
Hierarchical Sequential Feature Extraction Network for Radar Target Recognition Based on HRRP
IEEE International Conference on Signal and Image Processing, 2022Radar high resolution range profile (HRRP) contains lots of discriminative information for radar automatic target recognition (RATR). The temporal dependence information in HRRP can provide the scatter distribution information at different times, which ...
Qi Liu, Xinyu Zhang, Yongxiang Liu
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Surrounding Prototype Loss for Radar HRRP Open Set Target Recognition
IEEE Geoscience and Remote Sensing Letters, 2022The open set recognition (OSR) model can identify the known and unknown samples simultaneously. In the radar automatic target recognition (RATR) application, OSR meets better practical requirements than closed set recognition (CSR).
Ziheng Xia +3 more
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One-Shot HRRP Generation for Radar Target Recognition
IEEE Geoscience and Remote Sensing Letters, 2021Insufficient data of a noncooperative target seriously affect the performance of radar automatic target recognition (RATR) using the high-resolution range profile (HRRP), especially when the noncooperative target has only one sample.
Liangchao Shi +5 more
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