Sequential ISAR Target Classification Based on Hybrid Transformer-Reference-Cited by-同舟云学术

Sequential ISAR Target Classification Based on Hybrid Transformer

Published:2022 Issue: Volume:60 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Xue Ruihang¹^ORCID,Bai Xueru¹^ORCID,Cao Xiangyong²^ORCID,Zhou Feng³^ORCID

Affiliation:

1. National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China

2. School of Electronic and Information Engineering and the Key Laboratory for Intelligent Networks and Network Security, Ministry of Education, Xi’an Jiaotong University, Xi’an, China

3. Key Laboratory of Electronic Information Countermeasure and Simulation Technology of Ministry of Education, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

China Scholarship Council

Fund for Foreign Scholars in University Research and Teaching Programs

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09722887.pdf?arnumber=9722887

Reference47 articles.

1. Robust ISAR Range Alignment via Minimizing the Entropy of the Average Range Profile

2. SAR-Oriented Visual Saliency Model and Directed Acyclic Graph Support Vector Metric Based Target Classification

3. End-to-End Object Detection with Transformers

4. Exploring Self-Attention for Image Recognition

5. An image is worth $16\times16$ words: Transformers for image recognition at scale;dosovitskiy;Proc Int Conf Learn Represent,2021

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