Surface Classification Based on Low Terahertz Radar Imaging and Deep Neural Network

The development of an automotive surface recognition system is an important and yet unsolved task. In the current study we are considering a novel approach to surface classification based on the analysis of the image obtained using the Low Terahertz radar. The proposed experimental technique in comb...

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Bibliographic Details
Main Authors: Sabery, Shahrzad Minooee, Bystrov, Aleksandr, Gardner, Peter, Gashinova, Marina
Format: Conference Proceeding
Language:English
Subjects:
deep neural network
electromagnetic scattering
low terahertz
radar imaging
surface roughness
Online Access:Request full text
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Summary:The development of an automotive surface recognition system is an important and yet unsolved task. In the current study we are considering a novel approach to surface classification based on the analysis of the image obtained using the Low Terahertz radar. The proposed experimental technique in combination with a deep convolutional neural network provides high surface classification accuracy.
ISSN:2155-5753
DOI:10.23919/IRS48640.2020.9253738