Millimeter-wave Active Imaging Using Multiple Frequencies with Complex-Valued Self-Organizing Map Image Processing

被引:0
作者
Arima, Yuya [1 ]
Hirose, Akira [1 ]
机构
[1] Univ Tokyo, Dept Elect Engn & Informat Syst, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan
来源
2014 ASIA-PACIFIC MICROWAVE CONFERENCE (APMC) | 2014年
关键词
Millimeter wave imaging; Self-organizing feature maps; Neural networks; Security;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Millimeter-wave possesses high penetrability and high directivity. In security imaging, we use these features to discover weapons concealed under clothes. We previously proposed a millimeter-wave imaging system for moving targets consisting of one-dimensional array antenna, parallel front-end and complex-valued self-organizing map (CSOM) to deal with complex texture. This system observes targets at multiple modulation frequencies. In this paper, we investigate reduction of the measurement time by reducing measurement frequency points. Experiments examine the trade-off between the number and visualization quality.
引用
收藏
页码:1031 / 1033
页数:3
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