Machine-learning reprogrammable metasurface imager
Conventional microwave imagers usually require either time-consuming data acquisition, or
complicated reconstruction algorithms for data post-processing, making them largely …
complicated reconstruction algorithms for data post-processing, making them largely …
Intelligent meta-imagers: From compressed to learned sensing
C Saigre-Tardif, R Faqiri, H Zhao, L Li… - Applied Physics …, 2022 - pubs.aip.org
Computational meta-imagers synergize metamaterial hardware with advanced signal
processing approaches such as compressed sensing. Recent advances in artificial …
processing approaches such as compressed sensing. Recent advances in artificial …
mmEye: Super-resolution millimeter wave imaging
RF imaging is a dream that has been pursued for years yet not achieved in the evolving
wireless sensing. The existing solutions on WiFi bands, however, either require specialized …
wireless sensing. The existing solutions on WiFi bands, however, either require specialized …
Intelligent electromagnetic metasurface camera: system design and experimental results
Electromagnetic (EM) sensing is uniquely positioned among nondestructive examination
options, which enables us to see clearly targets, even when they visually invisible, and thus …
options, which enables us to see clearly targets, even when they visually invisible, and thus …
Millimeter-wave imaging using 1-bit programmable metasurface: Simulation model, design, and experiment
J Han, L Li, S Tian, G Liu, H Liu… - IEEE Journal on Emerging …, 2020 - ieeexplore.ieee.org
In this paper, a comprehensive study of millimeter-wave (mmW) imaging for far-field and
near-field objects using 1-bit programmable metasurface (PMS) is presented. Theoretical …
near-field objects using 1-bit programmable metasurface (PMS) is presented. Theoretical …
Four-Dimensional (4D) Millimeter Wave-Based Sensing and Its Potential Applications in Digital Construction: A Review
Digital construction relies on effective sensing to enhance the safety, productivity, and
quality of its activities. However, current sensing devices (eg, camera, LiDAR, infrared …
quality of its activities. However, current sensing devices (eg, camera, LiDAR, infrared …
CoIR: Compressive Implicit Radar
SM Farrell, V Boominathan, N Raymondi… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Using millimeter wave (mmWave) signals for imaging has an important advantage in that
they can penetrate through poor environmental conditions such as fog, dust, and smoke that …
they can penetrate through poor environmental conditions such as fog, dust, and smoke that …
A deep learning approach for reconstruction in millimeter-wave imaging systems
In millimeter-wave (MMW) imaging, the objects of interest are oftentimes modeled as 2-D
binary (black and white) shapes with white pixels representing the reflecting interior of the …
binary (black and white) shapes with white pixels representing the reflecting interior of the …
Exploring body shape from mmw images for person recognition
E Gonzalez-Sosa, R Vera-Rodriguez… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Due to the ability of millimeter waves (mmWs) to penetrate dielectric materials, such as
plastic, polymer, and clothes, the mmW imaging technology has been widely used for the …
plastic, polymer, and clothes, the mmW imaging technology has been widely used for the …
THz radar security screening method for walking human torso with multi-angle synthetic aperture
Terahertz (THz) radar imaging has widely adopted for security screening of standoff human
body in recent years, owing to its capacities of high resolution, harmless, contactless, and …
body in recent years, owing to its capacities of high resolution, harmless, contactless, and …