상세정보
학술대회
Object Classification of UWB Responses Using ST-CNN
- 발행일
- 201610
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2016, pp.794-796
- 협약과제
- 16ZI2200, 지역광부품 고도화를 위한 광융합 기술개발, 이병탁
- 초록
- 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 제안 키워드
- Classification method, Convolution neural network(CNN), Object classification, S-transform, Time series data, time-domain, unique characteristics