Results 31 to 40 of about 82 (67)
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
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Lightweight Transformer Network for Ship HRRP Target Recognition
Applied Sciences, 2022 The traditional High-Resolution Range Profile (HRRP) target recognition method has difficulty automatically extracting target deep features, and has low recognition accuracy under low training samples.
Zhibin Yue, Jianbin Lu, Lu Wan
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Multi-Source HRRP Target Fusion Recognition Based on Time-Step Correlation
Applied Sciences, 2023 Aiming at the limitations of a single High Resolution Range Profile (HRRP) in recognition, this paper proposes a Time step Correlation-based Feature Fusion (TCFF) method.
Jianbin Lu, Zhibin Yue, Lu Wan
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Radar HRRP Target Recognition via Semi-Supervised Multi-Task Deep Network
IEEE Access, 2019 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
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Remote Sensing, 2021 Radar automatic target recognition is a critical research topic in radar signal processing. Radar high-resolution range profiles (HRRPs) describe the radar characteristics of a target, that is, the characteristics of the target that is reflected by the ...
Chih-Lung Lin +4 more
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Open set HRRP recognition based on convolutional neural network
The Journal of Engineering, Volume 2019, Issue 21, Page 7701-7704, November 2019., 2019 Most existing algorithms in high‐resolution range profile recognition focus on the closed set cases, where the test sample is from a known class. However, a sample could be drawn from unknown classes in realistic scenario, which is named as open set recognition.
Wei Chen, Yanhua Wang, Jia Song, Yang Li
wiley +1 more source
Deep forest for radar HRRP recognition
The Journal of Engineering, Volume 2019, Issue 21, Page 8018-8021, November 2019., 2019 High‐resolution range profile (HRRP) has received intensive attention in the radar automatic target recognition filed. Here, deep forest is applied to the recognition of HRRP. The deep forest is a deep learning method, which is a cascade of ensemble learners. In each layer, there are various ensemble learners. The input of each layer is the combination
Yanhua Wang +5 more
wiley +1 more source
Recognizing the HRRP by Combining CNN and BiRNN With Attention Mechanism
IEEE Access, 2020 In this paper, we integrate the advantages of convolutional neural network (CNN) and bidirectional recurrent neural network (BiRNN) with attention mechanism, and propose a CNN-BiRNN based method to recognize the individual high resolution range profile ...
Jinwei Wan +5 more
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Radar HRRP recognition based on CNN
The Journal of Engineering, Volume 2019, Issue 21, Page 7766-7769, November 2019., 2019 In this study, ground target recognition based on one‐dimensional convolutional neural network (CNN) is studied by exploiting the targets’ high‐resolution range profiles (HRRPs). Contrary to conventional methods which need feature extraction artificially, CNN can automatically discover features for classification.
Jia Song +4 more
wiley +1 more source
Polarised HRRP scattering centre estimation via atomic norm minimisation
The Journal of Engineering, Volume 2019, Issue 21, Page 7847-7850, November 2019., 2019 The combination of polarisation and high‐resolution technology is a promising research direction for radar automatic target recognition. Fusing the polarisation information into the scattering centre model is able to refine the scattering structural information. This study proposes a fully‐polarised radar high range resolution profile (HRRP) scattering
Haibo Liu +4 more
wiley +1 more source