Results 31 to 40 of about 132 (100)

High‐Resolution Range Profile Sequence Recognition Based on Transformer with Temporal–Spatial Fusion and Label Smoothing

open access: yesAdvanced Intelligent Systems, Volume 5, Issue 11, November 2023., 2023
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

One‐dimensional convolutional neural networks for high‐resolution range profile recognition via adaptively feature recalibrating and automatically channel pruning

open access: yesInternational Journal of Intelligent Systems, Volume 36, Issue 1, Page 332-361, January 2021., 2021
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

open access: yesInternational Journal of Antennas and Propagation, Volume 2021, Issue 1, 2021., 2021
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

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
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

open access: yesComplexity, Volume 2021, Issue 1, 2021., 2021
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

open access: yesIEEE Access, 2020
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

open access: yesRemote Sensing, 2023
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

open access: yesApplied 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
doaj   +1 more source

Multi-Source HRRP Target Fusion Recognition Based on Time-Step Correlation

open access: yesApplied 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
doaj   +1 more source

Radar HRRP Target Recognition via Semi-Supervised Multi-Task Deep Network

open access: yesIEEE 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
doaj   +1 more source

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