Surface Classification Based on Low Terahertz Radar Imaging and Deep Neural Network
2020 21st International Radar Symposium (IRS)(2020)
摘要
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.
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关键词
surface roughness,low terahertz,radar imaging,electromagnetic scattering,deep neural network
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