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| Paper Abstract and Keywords | ||
| Presentation | 2019-07-19 14:30 2D Interpolation of GPR Common Midpoint Profile by Using Radial Basis Function Neural Networ k Changyu Zhou, Motoyuki Sato (Tohoku-dai)  SANE2019-34 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A new velocity analysis algorithm for Ground Penetrating Radar (GPR) is investigated. GPR provides the common mid-point (CMP) profile for various purposes, especially velocity analysis. However, due to the limitation of the site and hardware, GPR detection for the civil engineering object cannot acquire dense CMP profiles, which degrades the velocity estimation accuracy. To improve the performance, Radial Basis Function (RBF) neural network based interpolation method is presented to offer denser CMP data before the velocity analysis. The proposed algorithm is applied to the measured data of wall glass wool padding, which originally contains 32 channels and is acquired by a linear array GPR system whose working frequency is from 10 to 20GHz. The velocity spectrum generated by the interpolated data has up to 50% narrower velocity estimation range than the result obtained by the raw sparse data. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Ground Penetrating Radar (GPR) / Common mid-point (CMP) / Radial Basis Function (RBF) / Neural network / Velocity analysis / interpolation / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 121, SANE2019-34, pp. 91-96, July 2019. | |
| Paper # | SANE2019-34 | |
| Date of Issue | 2019-07-10 (SANE) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | SANE2019-34 |
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| Conference Information | |
| Committee | AP SANE SAT |
| Conference Date | 2019-07-17 - 2019-07-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Subsurface Electromagnetic Measurements, Sattelite Communication, Radio propagation, Antennas and Propagation |
| Paper Information | |
| Registration To | SANE |
| Conference Code | 2019-07-AP-SANE-SAT |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | 2D Interpolation of GPR Common Midpoint Profile by Using Radial Basis Function Neural Networ k |
| Sub Title (in English) | |
| Keyword(1) | Ground Penetrating Radar (GPR) |
| Keyword(2) | Common mid-point (CMP) |
| Keyword(3) | Radial Basis Function (RBF) |
| Keyword(4) | Neural network |
| Keyword(5) | Velocity analysis |
| Keyword(6) | interpolation |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Changyu Zhou |
| 1st Author's Affiliation | Tohoku University (Tohoku-dai) |
| 2nd Author's Name | Motoyuki Sato |
| 2nd Author's Affiliation | Tohoku University (Tohoku-dai) |
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| Speaker | Author-1 |
| Date Time | 2019-07-19 14:30:00 |
| Presentation Time | 25 minutes |
| Registration for | SANE |
| Paper # | SANE2019-34 |
| Volume (vol) | vol.119 |
| Number (no) | no.121 |
| Page | pp.91-96 |
| #Pages | 6 |
| Date of Issue | 2019-07-10 (SANE) |
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