Presentation 2015-03-16
Window Size Optimization in a Millimeter-wave Active Imaging System Using Complex-Valued Self-Organizing Map
Yuya ARIMA, Akira HIROSE,
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Abstract(in English) 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 report investigates the relationship between the physical characteristics of the measuring device and the information content of the local texture necessary for CSOM performs discrimination. Experiments examine the correlation between the optimization of window size and the distance between the target and the antennas.
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Keyword(in English) Millimeter wave imaging / Self-organizing feature maps / Neural networks / Security
Paper # MBE2014-164,NC2014-115
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Committee NC
Conference Date 2015/3/9(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Window Size Optimization in a Millimeter-wave Active Imaging System Using Complex-Valued Self-Organizing Map
Sub Title (in English)
Keyword(1) Millimeter wave imaging
Keyword(2) Self-organizing feature maps
Keyword(3) Neural networks
Keyword(4) Security
1st Author's Name Yuya ARIMA
1st Author's Affiliation Department of Electrical Engineering and Information Systems, The University of Tokyo()
2nd Author's Name Akira HIROSE
2nd Author's Affiliation Department of Electrical Engineering and Information Systems, The University of Tokyo
Date 2015-03-16
Paper # MBE2014-164,NC2014-115
Volume (vol) vol.114
Number (no) 515
Page pp.pp.-
#Pages 6
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