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Conference Paper
Object classification of UWB responses using S T-CNN
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- Authors
- Seok-Kap Ko, Byung-Tak Lee
- Issue Date
- 2016-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2016, pp.794-796
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- UWB response includes unique characteristics of reflecting objects. Because the response is the combination of many distortion, resonance, and multi-paths, the object classification of UWB response is difficult. In this paper, we propose an object classification method using S-Transform and convolution neural network. S-Transform converts time series data of UWB response to frequency-Time domain which convolutional neural network can learn and classify.
- KSP Keywords
- Classification method, Convolution neural network(CNN), Object Classification, S-transform, Time series data, neural network(NN), time-domain, unique characteristics