Data augmentation for imbalanced HRRP recognition using deep convolutional generative adversarial network
Y Song, Y Li, Y Wang, C Hu - IEEE Access, 2020 - ieeexplore.ieee.org
In radar high-resolution range profile (HRRP) recognition, the recognition accuracy will
decline when the training samples in some classes (majority classes) greatly outnumbers …
decline when the training samples in some classes (majority classes) greatly outnumbers …
Recognition-aware HRRP generation with generative adversarial network
Existing works on radar high-resolution range profile (HRRP) recognition commonly focus
on utilizing data and various deep learning models in achieving high classification accuracy …
on utilizing data and various deep learning models in achieving high classification accuracy …
HRRP target recognition with deep transfer learning
Recently, radar high-resolution range profile (HRRP) recognition based on convolutional
neural networks (CNNs) has received considerable attention due to its robustness to …
neural networks (CNNs) has received considerable attention due to its robustness to …
One‐dimensional convolutional neural networks for high‐resolution range profile recognition via adaptively feature recalibrating and automatically channel pruning
Q Xiang, X Wang, Y Song, L Lei, R Li… - International Journal of …, 2021 - Wiley Online Library
High‐resolution range profile (HRRP) has obtained intensive attention in radar target
recognition and convolutional neural networks (CNNs) are among predominant approaches …
recognition and convolutional neural networks (CNNs) are among predominant approaches …
Radar HRRP recognition based on discriminant deep autoencoders with small training data size
P Mian, J Jie, L Zhu, C Jing, Z Tao - Electronics Letters, 2016 - Wiley Online Library
A novel radar high resolution range profile (HRRP) recognition method based on
discriminant deep autoencoders is proposed to enhance the classification performance with …
discriminant deep autoencoders is proposed to enhance the classification performance with …
Hrrp data augmentation using generative adversarial networks
L Wang, J Sun, J Sun, J Yu - 2021 IEEE 5th Advanced …, 2021 - ieeexplore.ieee.org
In radar automatic target recognition, high resolution range profile (HRRP) can promise
satisfactory performance by deep learning when the training samples are affluent. Actually, it …
satisfactory performance by deep learning when the training samples are affluent. Actually, it …
Target recognition of radar HRRP based on AUMAP segmentation and improved convolutional neural network
M Yin, J Zhang, C Zhang - IET International Radar Conference …, 2020 - ieeexplore.ieee.org
In the high-resolution range profile (HRRP) recognition, segmentation can obtain the target
attitude angle of HRRP data, and the methods of segmenting the HRRP data have a …
attitude angle of HRRP data, and the methods of segmenting the HRRP data have a …
Class factorized variational auto-encoder for radar HRRP target recognition
J Chen, L Du, L Liao - 2020 IEEE Radar Conference …, 2020 - ieeexplore.ieee.org
In this paper, a class factorized variational auto-encoder (CFVAE) is developed for radar
high-resolution range profile (HRRP) target recognition. The proposed model integrates the …
high-resolution range profile (HRRP) target recognition. The proposed model integrates the …
CNN based on multiscale window self-attention mechanism for radar HRRP target recognition
Y Diao, S Liu, X Gao, A Liu… - 2022 7th International …, 2022 - ieeexplore.ieee.org
In this paper, we propose a convolutional neural network (CNN) with multiscale window self-
attention mechanism for radar high-resolution range profile (HRRP) target recognition task …
attention mechanism for radar high-resolution range profile (HRRP) target recognition task …
Radar HRRP target recognition based on t-SNE segmentation and discriminant deep belief network
M Pan, J Jiang, Q Kong, J Shi… - IEEE Geoscience and …, 2017 - ieeexplore.ieee.org
In radar high-resolution range profile (HRRP)-based target recognition, one of the most
challenging tasks is the noncooperative target recognition with imbalanced training data set …
challenging tasks is the noncooperative target recognition with imbalanced training data set …