Paper Abstract and Keywords |
Presentation |
2017-11-09 13:00
Robust one dimensional phase unwrapping using Markov random fields Yasuhisa Nakashima (Univ. Tokyo), Yasuhiko Igarashi (JST), Yasushi Naruse (NICT), Masato Okada (Univ. Tokyo) IBISML2017-45 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the measurement of crustal deformation using satellite or aircraft sensors, interferometric synthetic aperture radar is widely used.
In the measurements, variations are obtained as constant multiples of the phase differences.
However, the phase differences are convoluted between $-pi$ and $pi$.
Therefore, in order to calculate the variations, it is necessary to restore the continuous phase obtained by removing the uncertainty of integer multiples of $2pi$ from the wrapped phase.
This is the problem called phase unwrapping.
Measurement data generally includes observation noises.
For data near the boundary between $-pi$ and $pi$, it is difficult to distinguish between observation noise and discontinuities owing to wrapping, and unwrapping accuracies goes down.
In this study, we propose a method of phase unwrapping based on Bayesian inference by modeling the smoothness, observation noise and wrapping using Markov random field models.
We apply the proposed method to synthetic data, and indicate that it can estimate the original phase robustly compared to the conventional method even under noisy observations. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Bayesian estimation / belief propagation / von Mises distribution / directional statistics / phase unwrapping / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 293, IBISML2017-45, pp. 77-84, Nov. 2017. |
Paper # |
IBISML2017-45 |
Date of Issue |
2017-11-02 (IBISML) |
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) |
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IBISML2017-45 |
Conference Information |
Committee |
IBISML |
Conference Date |
2017-11-08 - 2017-11-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Univ. of Tokyo |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Information-Based Induction Science Workshop (IBIS2017) |
Paper Information |
Registration To |
IBISML |
Conference Code |
2017-11-IBISML |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Robust one dimensional phase unwrapping using Markov random fields |
Sub Title (in English) |
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Keyword(1) |
Bayesian estimation |
Keyword(2) |
belief propagation |
Keyword(3) |
von Mises distribution |
Keyword(4) |
directional statistics |
Keyword(5) |
phase unwrapping |
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1st Author's Name |
Yasuhisa Nakashima |
1st Author's Affiliation |
The University of Tokyo (Univ. Tokyo) |
2nd Author's Name |
Yasuhiko Igarashi |
2nd Author's Affiliation |
Japan Science and Technology Agency, PRESTO (JST) |
3rd Author's Name |
Yasushi Naruse |
3rd Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
4th Author's Name |
Masato Okada |
4th Author's Affiliation |
The University of Tokyo (Univ. Tokyo) |
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Speaker |
Author-1 |
Date Time |
2017-11-09 13:00:00 |
Presentation Time |
150 minutes |
Registration for |
IBISML |
Paper # |
IBISML2017-45 |
Volume (vol) |
vol.117 |
Number (no) |
no.293 |
Page |
pp.77-84 |
#Pages |
8 |
Date of Issue |
2017-11-02 (IBISML) |
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