Few-Shot HRRP Target Recognition Based on Meta-Learning Framework and Improved Lightweight Network with CNN and Bi-GRU-Reference-Cited by-同舟云学术

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Few-Shot HRRP Target Recognition Based on Meta-Learning Framework and Improved Lightweight Network with CNN and Bi-GRU

Published:2023-10-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Imaging Systems and Techniques (IST)
language:
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Author:

Zhang Yuxuan¹,Kong Yingying¹

Affiliation:

1. Nanjing University of Aeronautics and Astronautics,College of Electrical and Information Engineering,Nanjing,China

Funder

National Natural Science Foundation of China

Aeronautical Science Foundation of China

National Science and Technology Major Project

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10355649/10355650/10355666.pdf?arnumber=10355666

Reference11 articles.

1. Radar HRRP Target Recognition Model Based on a Stacked CNN–Bi-RNN With Attention Mechanism

2. Research of Radar Range Profile's Recognition Based on an Improved C-SVM Algorithm

3. Using improved SVM decision tree to classify HRRP

4. GS-RNN: A Novel RNN Optimization Method based on Vanishing Gradient Mitigation for HRRP Sequence Estimation and Recognition

5. HRRP feature extraction and recognition method of radar ground target using convolutional neural network

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