A Deep Learning Approach for Reconstruction in Millimeter-Wave Imaging Systems
Author:
Affiliation:
1. EE Department, Sharif University of Technology, Tehran, Iran
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8/10021137/09912307.pdf?arnumber=9912307
Reference28 articles.
1. Segmentation of Concealed Objects in Passive Millimeter-Wave Images Based on the Gaussian Mixture Model
2. Detection and localization of objects in Passive Millimeter Wave Images
3. A Fast Detection Method Based on Deep Learning of Millimeter Wave Human Image
4. Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm
5. Inverse Synthetic Aperture Radar Imaging Using a Fully Convolutional Neural Network
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