SR-ISTA-Net: Sparse Representation-Based Deep Learning Approach for SAR Imaging
Author:
Affiliation:
1. Institute of Information and Navigation, Air Force Engineering University, Xi’an, China
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/ielx7/8859/9651998/09869652.pdf?arnumber=9869652
Reference14 articles.
1. Deep Learning for Passive Synthetic Aperture Radar
2. End-to-End SAR Deep Learning Imaging Method Based on Sparse Optimization
3. Target-Oriented SAR Imaging for SCR Improvement via Deep MF-ADMM-Net
4. Ship Classification in SAR Images Using a New Hybrid CNN–MLP Classifier
5. Optimize TSK Fuzzy Systems for Classification Problems: Minibatch Gradient Descent With Uniform Regularization and Batch Normalization
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