Paper Abstract and Keywords |
Presentation |
2018-09-06 16:05
Clutter Reduction from GPR Image by Deep Learning Using Generative Adversarial Network Jun Sonoda (NIT, Sendai College), Tomoyuki Kimoto (NIT, Oita College) EST2018-51 Link to ES Tech. Rep. Archives: EST2018-51 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, deterioration of social infrastructures such as tunnels and bridges become a serious social problem. It is required to rapidly and accurately detect for abnormal parts of the social infrastructures. The ground penetrating radar (GPR) is efficient for the social infrastructure inspection. However, it is difficult to identify the material and size of the underground object from the radar image obtained the GPR. To objectively and quantitatively investigate from the GPR images by the deep learning, we have automatically and massively generated the GPR images by a fast finite-difference time-domain (FDTD) simulation with graphics processing units (GPUs), and it has been learned the underground object using a deep convolutional neural network (CNN), with the generated GPR images. As the results, we have obtained multilayer layers CNN can identify six materials and size with roughly more than 80% accuracy in some inhomogeneous underground. In this study, to increase the accuracy of object identification for the GPR images with many clutters in some inhomogeneous underground, we try to reduce clutters from the GPR images by the deep learning using the generative adversarial networks (GAN). |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
generative adversarial networks / deep learning / ground penetrating radar / clutter reducing / FDTD method / GPU / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 209, EST2018-51, pp. 47-51, Sept. 2018. |
Paper # |
EST2018-51 |
Date of Issue |
2018-08-30 (EST) |
ISSN |
Print edition: ISSN 0913-5685 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 |
EST2018-51 Link to ES Tech. Rep. Archives: EST2018-51 |
Conference Information |
Committee |
EST |
Conference Date |
2018-09-06 - 2018-09-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kumejima-machi, Okinawa |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Simulation techniques, etc. |
Paper Information |
Registration To |
EST |
Conference Code |
2018-09-EST |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Clutter Reduction from GPR Image by Deep Learning Using Generative Adversarial Network |
Sub Title (in English) |
|
Keyword(1) |
generative adversarial networks |
Keyword(2) |
deep learning |
Keyword(3) |
ground penetrating radar |
Keyword(4) |
clutter reducing |
Keyword(5) |
FDTD method |
Keyword(6) |
GPU |
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Jun Sonoda |
1st Author's Affiliation |
National Institute of Technology, Sendai College (NIT, Sendai College) |
2nd Author's Name |
Tomoyuki Kimoto |
2nd Author's Affiliation |
National Institute of Technology, Oita College (NIT, Oita College) |
3rd Author's Name |
|
3rd Author's Affiliation |
() |
4th Author's Name |
|
4th Author's Affiliation |
() |
5th Author's Name |
|
5th Author's Affiliation |
() |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2018-09-06 16:05:00 |
Presentation Time |
25 minutes |
Registration for |
EST |
Paper # |
EST2018-51 |
Volume (vol) |
vol.118 |
Number (no) |
no.209 |
Page |
pp.47-51 |
#Pages |
5 |
Date of Issue |
2018-08-30 (EST) |
|