An efficient method based on machine learning for estimation of the wall parameters in through-the-wall imaging
Author:
Affiliation:
1. School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China
2. State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China
Funder
National Natural Science Foundation of China
University Science Research Project of Jiangsu Province
the Scientific Research Foundation of Nanjing University of Posts and Telecommunications
State Key Laboratory of Millimeter Waves
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2016.1192703
Reference15 articles.
1. Synthetic aperture beamformer for imaging through a dielectric wall
2. Three-Dimensional Wideband Beamforming for Imaging Through a Single Wall
3. Refocusing Through Building Walls Using Synthetic Aperture Radar
4. Image-Domain Estimation of Wall Parameters for Autofocusing of Through-the-Wall SAR Imagery
5. Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine
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