Agile Frequency RCS-Based Deep Fusion Network for Ship and Corner Reflector Identification-Reference-Cited by-同舟云学术

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Agile Frequency RCS-Based Deep Fusion Network for Ship and Corner Reflector Identification

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Lv Qinzhe¹^ORCID,Fan Hanxin¹,Zhao Yinghai²,Quan Yinghui¹^ORCID,Xing Mengdao³^ORCID

Affiliation:

1. Department of Remote Sensing Science and Technology, School of Electronic EngineeringKey Laboratory of Collaborative Intelligence Systems, Ministry of Education, Beijing, China

2. Beijing Huahang Radio Measurement Research Institute, Beijing, China

3. Academy of Advanced Interdisciplinary Research, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

Science Funds for Distinguished Young Scholars of Shaanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10478035.pdf?arnumber=10478035

Reference18 articles.

1. Electromagnetic scattering characteristics and radar identification of sea corner reflectors: Advances and prospects;Li;J. Radars,2023

2. RCS Recognition Method of Corner Reflectors based on 1D-CNN

3. Anti-Corner Reflector Array Method Based on Pauli Polarization Decomposition and BP Neural Network

4. A sea corner jamming identification method based on micro-doppler feature;Mengjun

5. HRRP target recognition based on kernel joint discriminant analysis

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