Presentation 2018-05-14
Adaptive processing of time domain information by complex-valued self-organizing map in GPR
Soshi Shimomura, Akira Hirose,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this technical report, we propose an adaptive subsurface visualization system based on a complex?valued self-organizing map (CSOM). Besides detecting subsurface targets in so-called B-scan images obtained by a ground penetrating radar, our proposed method is able to classify the targets by the self-organizing dynamics in the CSOM. Instead of utilizing only the amplitude information in the time domain, we use both the amplitude and phase information to obtain the scattering coefficients of the targets by use of the phase retrieval method. The CSOM classifies the obtained scattering coefficients to realize an automatic categorization of the targets that scatter the radar electromagnetic wave.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Ground penetrating radar (GPR) / complex-valued self-organizing map / radar imaging
Paper # SANE2018-2
Date of Issue 2018-05-07 (SANE)

Conference Information
Committee SANE
Conference Date 2018/5/14(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Kikai-Shinko-Kaikan Bldg.
Topics (in Japanese) (See Japanese page)
Topics (in English) Radar, EW and general
Chair Sonosuke Fukushima(ENRI)
Vice Chair Toshifumi Moriyama(Nagasaki Univ.) / Akitsugu Nadai(NICT)
Secretary Toshifumi Moriyama(Mitsubishi Electric) / Akitsugu Nadai(ENRI)
Assistant Manabu Akita(Univ. of Electro-Comm.) / Ryo Natsuaki(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Space, Aeronautical and Navigational Electronics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adaptive processing of time domain information by complex-valued self-organizing map in GPR
Sub Title (in English)
Keyword(1) Ground penetrating radar (GPR)
Keyword(2) complex-valued self-organizing map
Keyword(3) radar imaging
1st Author's Name Soshi Shimomura
1st Author's Affiliation The university of Tokyo(Tokyo Univ.)
2nd Author's Name Akira Hirose
2nd Author's Affiliation The university of Tokyo(Tokyo Univ.)
Date 2018-05-14
Paper # SANE2018-2
Volume (vol) vol.118
Number (no) SANE-28
Page pp.pp.7-11(SANE),
#Pages 5
Date of Issue 2018-05-07 (SANE)