Data Augmentation for Imbalanced HRRP Recognition Using Deep Convolutional Generative Adversarial Network

Data Augmentation for Imbalanced HRRP Recognition Using Deep Convolutional Generative Adversarial Network

In radar high-resolution range profile (HRRP) recognition, the recognition accuracy will decline when the training samples in some classes (majority classes) greatly outnumbers other classes (minority classes). To alleviate the above imbalanced problem, an HRRP data augmentation framework is propose...

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Bibliographic Details
Main Authors: Yiheng Song, Yang Li, Yanhua Wang, Cheng Hu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
High resolution range profile (HRRP)
imbalanced problem
data augmentation
1-D deep convolutional generative adversarial network (DCGAN)
Online Access:https://ieeexplore.ieee.org/document/9234497/

Internet

https://ieeexplore.ieee.org/document/9234497/

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