Modified ADMM-Net for Attributed Scattering Center Decomposition of Synthetic Aperture Radar Targets-Reference-Cited by-同舟云学术

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Modified ADMM-Net for Attributed Scattering Center Decomposition of Synthetic Aperture Radar Targets

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:

Duan Jia¹^ORCID,Zhang Lei¹^ORCID,Hua Yan²

Affiliation:

1. School of Electronics and Communication, Sun Yat-sen University, Guangming, China

2. Science and Technology on Electromagnetic Scattering Laboratory, Beijing, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Introduced Innovative Research and Development Team Project of “The Pearl River Talent Recruitment Program”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10305587.pdf?arnumber=10305587

Reference14 articles.

1. Deep ADMM-net for compressive sensing MRI;yan;Proc Adv Neural Inf Process Syst,2016

2. Attributed Scattering Center Extraction With Genetic Algorithm

3. ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing

4. Nonparametric Bayesian Attributed Scattering Center Extraction for Synthetic Aperture Radar Targets

5. Attributed Scattering Center Extraction Algorithm Based on Sparse Representation With Dictionary Refinement

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