Results 31 to 40 of about 132 (100)
To further improve the performance of high‐resolution range profile sequence recognition, a transformer with temporal–spatial fusion and label smoothing is proposed, which can extract deep global features in both temporal and spatial domains and adopt the attention fusion mechanism to realize efficient feature fusion.
Xiaodan Wang +4 more
wiley +1 more source
Abstract High‐resolution range profile (HRRP) has obtained intensive attention in radar target recognition and convolutional neural networks (CNNs) are among predominant approaches to deal with HRRP recognition problems. However, most CNNs are designed by the rule‐of‐thumb and suffer from much more computational complexity.
Qian Xiang +5 more
wiley +1 more source
Radar High‐Resolution Range Profile Target Recognition by the Dual Parallel Sequence Network Model
Using traditional neural network algorithms to adapt to high‐resolution range profile (HRRP) target recognition is a complex problem in the current radar target recognition field. Under the premise of in‐depth analysis of the long short‐term memory (LSTM) network structure and algorithm, this study uses an attention model to extract data from the ...
Jizhou Wu +3 more
wiley +1 more source
Multi-View HRRP Generation With Aspect-Directed Attention GAN
In radar automatic target recognition (RATR), high-resolution range profile (HRRP) has received intensive attention due to its low computational cost.
Yiheng Song +5 more
doaj +1 more source
Time‐Frequency Analysis and Target Recognition of HRRP Based on CN‐LSGAN, STFT, and CNN
Aiming at the problem of radar target recognition of High‐Resolution Range Profile (HRRP) under low signal‐to‐noise ratio conditions, a recognition method based on the Constrained Naive Least‐Squares Generative Adversarial Network (CN‐LSGAN), Short‐time Fourier Transform (STFT), and Convolutional Neural Network (CNN) is proposed.
Jianghua Nie +4 more
wiley +1 more source
VGM-RNN: HRRP Sequence Extrapolation and Recognition Based on a Novel Optimized RNN
High-Resolution Range Profile (HRRP) sequence has attracted academic attentions in the field of radar automatic target recognition (RATR) owing to its abundant spatial-temporal correlation between adjacent samples. However, it is difficult in the working
Yifan Zhang +3 more
doaj +1 more source
Automatic ISAR Ship Detection Using Triangle-Points Affine Transform Reconstruction Algorithm
With the capability of capturing a target’s two-dimensional information, Inverse Synthetic Aperture Radar (ISAR) imaging is widely used in Radar Automatic Target Recognition.
Xinfei Jin +4 more
doaj +1 more source
Lightweight Transformer Network for Ship HRRP Target Recognition
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
doaj +1 more source
Multi-Source HRRP Target Fusion Recognition Based on Time-Step Correlation
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
doaj +1 more source
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 +1 more source

