Polarimetric HRRP recognition based on feature‐guided Transformer model
Electronics Letters, 2021 Polarimetric high‐resolution range profile (HRRP) holds great potential for radar automatic target recognition (RATR) owing to its capability of providing both polarimetric and spatial scattering information.
Liang Zhang +4 more
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Convolutional neural networks for radar HRRP target recognition and rejection [PDF]
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 +4 more
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Extraction of Micro-Doppler Feature Using LMD Algorithm Combined Supplement Feature for UAVs and Birds Classification [PDF]
Remote Sensing, 2022 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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A NUFFT Based Step-frequency Chirp Signal High Resolution Imaging Algorithm and Target Recognition Algorithm [PDF]
Leida xuebao, 2015 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
doaj +2 more sources
An Interpretable Target-Aware Vision Transformer for Polarimetric HRRP Target Recognition with a Novel Attention Loss [PDF]
Remote SensingPolarimetric 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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Radar High-Resolution Range Profile Rejection Based on Deep Multi-Modal Support Vector Data Description [PDF]
Remote SensingRadar 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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Inverse Synthetic Aperture Radar Image Multi-Modal Zero-Shot Learning Based on the Scattering Center Model and Neighbor-Adapted Locally Linear Embedding [PDF]
Remote SensingInverse 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
doaj +2 more sources
MSDP-Net: A Multi-Scale Domain Perception Network for HRRP Target Recognition [PDF]
Remote SensingHigh-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
doaj +2 more sources
A SAR Image Target Recognition Approach via Novel SSF-Net Models. [PDF]
Comput Intell Neurosci, 2020 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) image recognition technology has become one of the research hotspots in this field.
Wang W, Zhang C, Tian J, Ou J, Li J.
europepmc +2 more sources
High-Resolution Radar Target Recognition via Inception-Based VGG (IVGG) Networks. [PDF]
Comput Intell Neurosci, 2020 Aiming at high‐resolution radar target recognition, new convolutional neural networks, namely, Inception‐based VGG (IVGG) networks, are proposed to classify and recognize different targets in high range resolution profile (HRRP) and synthetic aperture radar (SAR) signals. The IVGG networks have been improved in two aspects.
Wang W +6 more
europepmc +2 more sources