Classification of ground moving radar targets using convolutional neural network-Reference-Cited by-同舟云学术

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Classification of ground moving radar targets using convolutional neural network

Published:2018-05 Issue: Volume: Page:
ISSN:
Container-title:2018 22nd International Microwave and Radar Conference (MIKON)
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Author:

Hadhrami Esra Al,Mufti Maha Al,Taha Bilal,Werghi Naoufel

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8400381/8404983/08405154.pdf?arnumber=8405154

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shape and orientation classification of objects based on their electromagnetic signatures using convolutional neural networks;Inverse Problems;2024-03-13

2. A Framework of Streaming Data Processing platform for Radar System;Proceedings of the 2023 4th International Conference on Computer Science and Management Technology;2023-10-13

3. Generalization Ability of Deep Learning Algorithms Trained Using SEM Data for Objects Classification;Radio Science;2022-11-30

4. Pulse deinterleaving based on fusing PDWs and PRI extraction process for radar-assisted edge devices considering computational costs;EURASIP Journal on Wireless Communications and Networking;2021-04-20

5. Automatic target recognition method for low-resolution ground surveillance radar based on 1D-CNN;Twelfth International Conference on Signal Processing Systems;2021-01-20

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