Results 11 to 20 of about 2,850 (128)
Polarimetric high-resolution range profile (HRRP), with its rich polarimetric and spatial information, has become increasingly important in radar automatic target recognition (RATR).
Fan Gao +5 more
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MSDP-Net: A Multi-Scale Domain Perception Network for HRRP Target Recognition
High-resolution range profile (HRRP) recognition serves as a foundational task in radar automatic target recognition (RATR), enabling robust classification under all-day and all-weather conditions.
Hongxu Li +4 more
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Extraction of Micro-Doppler Feature Using LMD Algorithm Combined Supplement Feature for UAVs and Birds Classification [PDF]
In the past few decades, the demand for reliable and robust systems capable of monitoring unmanned aerial vehicles (UAVs) increased significantly due to the security threats from its wide applications.
Ting Dai +5 more
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Radar HRRP Target Recognition via Semi-Supervised Multi-Task Deep Network
Feature representation based on the high resolution range profile (HRRP) is the key technology in radar automatic target recognition(RATR). In this paper, we design a deep-u-blind denoising network(DUBDNet) to extract features with high-noise-stability ...
Chenkai Zhao +4 more
doaj +2 more sources
Radar Automatic Target Recognition (RATR) is the key technique to be breaked through in the fuure development of intelligent weapon system. Compared to the 2-D SAR image target recognition, High Resolution Range Profile (HRRP) target recognition has the ...
Xiang Yin, Zhang Kai, Hu Cheng
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Radar Automatic Target Recognition (RATR) based on high-resolution range profile (HRRP) has received intensive attention in recent years. In practice, RATR usually needs not only to recognize in-library samples but also to reject out-of-library samples ...
Yue Dong +6 more
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Semantics- and Physics-Guided Generative Network for Radar HRRP Generalized Zero-Shot Recognition
High-resolution range profile (HRRP) target recognition has garnered significant attention in radar automatic target recognition (RATR) research for its rich structural information and low computational costs. With the rapid advancements in deep learning,
Jiaqi Zhou +5 more
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Inverse Synthetic Aperture Radar (ISAR) images are extensively used in Radar Automatic Target Recognition (RATR) for non-cooperative targets. However, acquiring training samples for all target categories is challenging. Recognizing target classes without
Xinfei Jin +4 more
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A SAR Image Target Recognition Approach via Novel SSF-Net Models. [PDF]
With the wide application of high-resolution radar, the application of Radar Automatic Target Recognition (RATR) is increasingly focused on how to quickly and accurately distinguish high-resolution radar targets. Therefore, Synthetic Aperture Radar (SAR)
Wang W, Zhang C, Tian J, Ou J, Li J.
europepmc +3 more sources
Survey of Radar HRRP Target Recognition Based on Parametric Statistical Model
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

