Coded-Aperture Computational Millimeter-Wave Image Classifier Using Convolutional Neural Network

Coded-Aperture Computational Millimeter-Wave Image Classifier Using Convolutional Neural Network

A millimeter-wave (mmW) classifier system applied to images synthesized from a coded-aperture based computational imaging (CI) radar is presented. A developed physical model of a CI system is used to generate the image dataset for the classification algorithm. A convolutional neural network (CNN) is...

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Bibliographic Details
Main Authors: Rahul Sharma, Raphael Hussung, Andreas Keil, Fabian Friederich, Thomas Fromenteze, Mohsen Khalily, Bhabesh Deka, Vincent Fusco, Okan Yurduseven
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Millimeter-wave
imaging radars
computational imaging
neural networks
image classification
coded-aperture
Online Access:https://ieeexplore.ieee.org/document/9521903/

Internet

https://ieeexplore.ieee.org/document/9521903/

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