Paper Abstract and Keywords |
Presentation |
2019-02-14 14:40
Crater Detection Robust to Degradation and Illumination Changes Using Convolutional Neural Network Takayuki Ishida (JAXA), Masaki Takahashi (Keio Univ.), Seisuke Fukuda (JAXA) SANE2018-125 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recent planetary exploration requires high precision landing technology, and one of the its solution is optical navigation which collates taken images and maps generated in advance. Especially craters are distributed over whole lunar surface, crater-based navigation is better way to navigate probes on the moon. Problems when detecting craters from taken images are apparent changes due to illumination condition and shape changes due to degradation. In this paper, a new crater detection method that combines linear classifier and convolutional neural network is proposed. Simulation results show our method is robust to changes of illumination and shape of craters. |
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(in Japanese) |
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Reference Info. |
IEICE Tech. Rep., vol. 118, no. 441, SANE2018-125, pp. 83-88, Feb. 2019. |
Paper # |
SANE2018-125 |
Date of Issue |
2019-02-06 (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) |
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SANE2018-125 |
Conference Information |
Committee |
SANE SAT |
Conference Date |
2019-02-13 - 2019-02-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tanegashima Island |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Satellite Application and General |
Paper Information |
Registration To |
SANE |
Conference Code |
2019-02-SANE-SAT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Crater Detection Robust to Degradation and Illumination Changes Using Convolutional Neural Network |
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1st Author's Name |
Takayuki Ishida |
1st Author's Affiliation |
Japan Aerospace Exploration Agency (JAXA) |
2nd Author's Name |
Masaki Takahashi |
2nd Author's Affiliation |
Keio University (Keio Univ.) |
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Seisuke Fukuda |
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Japan Aerospace Exploration Agency (JAXA) |
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Speaker |
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Date Time |
2019-02-14 14:40:00 |
Presentation Time |
25 minutes |
Registration for |
SANE |
Paper # |
SANE2018-125 |
Volume (vol) |
vol.118 |
Number (no) |
no.441 |
Page |
pp.83-88 |
#Pages |
6 |
Date of Issue |
2019-02-06 (SANE) |
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