Clutter Mitigation in Holographic Subsurface Radar Imaging Using Generative Adversarial Network With Attentive Subspace Projection
Author:
Affiliation:
1. School of Electronic Science and Technology, National University of Defense Technology, Changsha, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09844001.pdf?arnumber=9844001
Reference44 articles.
1. Deep Mutual GAN for Life-Detection Radar Super Resolution
2. Attentive Generative Adversarial Network for Raindrop Removal from A Single Image
3. Using neural networks to analyse surface irregularities measured with holographic radar
4. Clutter Removal in Through-the-Wall Radar Imaging Using Sparse Autoencoder With Low-Rank Projection
5. Improved Clutter Removal in GPR by Robust Nonnegative Matrix Factorization
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