A Novel SAR Automatic Target Recognition Method Based on Fully Complex-Valued Networks-Reference-Cited by-同舟云学术

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A Novel SAR Automatic Target Recognition Method Based on Fully Complex-Valued Networks

Published:2023 Issue: Volume:16 Page:6160-6171
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhu Yuejun¹^ORCID,Li Tao¹^ORCID,Peng Dongliang¹^ORCID,Wang Haoran²,Shi Sainan³^ORCID

Affiliation:

1. School of Automation, Hangzhou Dianzi University, Hangzhou, China

2. University of Science and Technology of China, Hefei, China

3. School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10173611.pdf?arnumber=10173611

Reference52 articles.

1. Electromagnetic Scattering Feature (ESF) Module Embedded Network Based on ASC Model for Robust and Interpretable SAR ATR

2. SAR Target Classification Based on Integration of ASC Parts Model and Deep Learning Algorithm

3. FEC: A Feature Fusion Framework for SAR Target Recognition Based on Electromagnetic Scattering Features and Deep CNN Features

4. PAN: Part Attention Network Integrating Electromagnetic Characteristics for Interpretable SAR Vehicle Target Recognition

5. RepVGG: Making VGG-style ConvNets Great Again

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