A Multichannel SAR Ground Moving Target Detection Algorithm Based on Subdomain Adaptive Residual Network-Reference-Cited by-同舟云学术

A Multichannel SAR Ground Moving Target Detection Algorithm Based on Subdomain Adaptive Residual Network

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zhang Zixin¹^ORCID,Wu Di¹^ORCID,Zhu Daiyin¹^ORCID,Zhang Yudong²^ORCID

Affiliation:

1. Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. School of Computing and Mathematical Sciences, University of Leicester, Leicester, U.K.

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10250888.pdf?arnumber=10250888

Reference16 articles.

1. A Modified Deep Convolutional Subdomain Adaptive Network Method for Fault Diagnosis of Wind Turbine Systems

2. Deep Subdomain Adaptation Network for Image Classification

3. Deep Residual Learning for Image Recognition

4. Multichannel SAR-GMTI in Maritime Scenarios With F-SAR and TerraSAR-X Sensors

5. A kernel two-sample test;gretton;J Mach Learn Res,2012

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