Comparison of aircraft target recognition methods based on ISAR images-Reference-Cited by-同舟云学术

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Comparison of aircraft target recognition methods based on ISAR images

Published:2022-06-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
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Author:

Ma Fanyin¹,He Yonghua¹,Li Yonggang¹

Affiliation:

1. University of Aerospace Engineering,Department of Electronic and Optical Engineering,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9836326/9836330/09836715.pdf?arnumber=9836715

Reference4 articles.

1. Mobile Phone Model Identification Method Based on Twin Convolutional Neural Network [J];honggui;Journal of Beijing University of Technology,2021

2. Aircraft Target SVM Classification Algorithm based on Ultra-resolved ISAR Imaging;fengchao;Journal of Air Force Engineering University,2009

3. Target identification in the ISAR images based on SVM [J];xiying;Light Industry Technology,2007

Cited by 3 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. The Development of a Low-Cost High-Resolution Ultrasonic ISAR Imaging System for Educational Purposes;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16

2. A Decision Fusion Framework for ISAR Images Recognition Based On Scattering Center and Zernike Moment;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

3. MVFRnet: A Novel High-Accuracy Network for ISAR Air-Target Recognition via Multi-View Fusion;Remote Sensing;2023-06-10

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