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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SANE 2023-12-08
09:10
Overseas Surakarta, Indonesia
(Primary: On-site, Secondary: Online)
Large-Scale Urban Mapping Using Earth Observation Data: A Systematic Review
Ahmad Luthfi Hadiyanto, Ahmad Maryanto, Muchammad Soleh, Farikhotul Chusnayah, Deni Kartika, Kurdianto (BRIN) SANE2023-66
Large-scale urban mapping using remote sensing data may provide detailed information represented as individual objects o... [more] SANE2023-66
pp.36-41
AP, SANE, SAT
(Joint)
2023-07-12
09:50
Hokkaido The Citizen Activity Center
(Primary: On-site, Secondary: Online)
A Universal Method of Dataset Building for SAR Image Land-use Land-cover Classification and the Evaluation
Jing-Yuan Wang, Josaphat Tetuko Sri Sumantyo (Chiba Univ.) SANE2023-21
Because the awesome characteristics are shown by SAR, the images are widely used in remote sensing fields and various ap... [more] SANE2023-21
pp.1-6
NLP, MSS 2023-03-16
13:00
Nagasaki
(Primary: On-site, Secondary: Online)
[Invited Talk] Applying Machine Learning to Social Applications -- Attempts toward automation of tasks related to medical care, disaster prevention, and steel bridge maintenance --
Noritaka Shigei (Kagoshima Univ.), Yoichi Ishizuka, Satoshi Sugimoto (Nagasaki Univ.), Chihiro Morita (Univ. of Miyazaki), Masanobu Miyazaki (Miyazaki Medical Clinic), Shinichi Abe, Tomoya Nishino (Nagasaki University Hospital), Hiromi Miyajima (Kagoshima Univ.) MSS2022-86 NLP2022-131
In various fields of society, the utilization of machine learning (ML) for efficiency and automation is rapidly advancin... [more] MSS2022-86 NLP2022-131
p.120
TL 2022-07-10
16:00
Online Online Port Town, Kobe and Old Traditional Town, Nikko -- Names of Roads and Areas --
Yuko Hiramatsu (Chuo Univ.) TL2022-8
In the course of research of linguistic landscapes at a traditional town in Nikko, a comparative study with Kobe, a port... [more] TL2022-8
pp.41-45
MI 2020-01-29
16:10
Okinawa OKINAWAKEN SEINENKAIKAN Landmark detection of pelvis and femur for preoperative planning of total hip replacement using CNN
Yuki Nakanishi (Kobe Univ.), Yoshito Otake (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yuta Hiasa (NAIST), Yoshiyuki Kagiyama (Univ. of Yamanashi), Toshiya Kaihara (Kobe Univ.), Yoshinobu Sato (NAIST) MI2019-93
We have developed an automated preoperative planning system for total hip replacement. This system requires quantitative... [more] MI2019-93
pp.125-127
SANE 2019-11-01
10:20
Overseas KOREA (Jeju) Study on Land Use Classification of PolSAR Data by Using Convolutional Neural Network
Nanako Saito, Masanori Gocho, Hiroyoshi Yamada, Ryoichi Sato, Yoshio Yamaguchi (Niigata Univ.) SANE2019-63
Polarimetric Synthetic Aperture Radar (PolSAR) has been attracting attention in ground target detection and classificati... [more] SANE2019-63
pp.77-82
AP 2019-08-22
11:55
Hokkaido Hokkai-Gakuen Univ. Fundamental Study on Land Use Classification of PolSAR Data by Using Machine Learning
Nanako Saito, Masanori Gocho, Hiroyoshi Yamada, Ryoichi Sato, Yoshio Yamaguchi (Niigata Univ.) AP2019-57
Polarimetric Synthetic Aperture Radar (PolSAR) has been attracting attention in ground target detection and classificati... [more] AP2019-57
pp.55-60
AI 2018-08-27
16:15
Osaka   Abandoned Farmland Mapping Using Satellite Data and Machine Learning, and Abandonment Probability Modeling by Field and Geographical Factors
Yohei Yamaguchi, Takashi Machimura, Takanori Matsui (Osaka Univ.) AI2018-24
Farmland abandonment is quickly increasing in Japan, and it becomes concern on social, economic and environmental issues... [more] AI2018-24
pp.61-66
MBE, NC
(Joint)
2018-03-14
10:00
Tokyo Kikai-Shinko-Kaikan Bldg. Hierarchical quaternion neural networks with self-organizing codebook for unsupervised PolSAR land classification
Hyunsoo Kim, Akira Hirose (Tokyo Univ.) NC2017-88
We propose a self-organizing codebook-based hierarchical polarization feature vector generation to realize an unsupervis... [more] NC2017-88
pp.121-126
EMT, IEE-EMT 2017-11-09
10:50
Yamagata Tendo Hotel (Tendo, Yamagata) Flexible Unsupervised PolSAR Land Classification System Based on Quaternion Neural Networks
Hyunsoo Kim, Akira Hirose (Tokyo Univ.) EMT2017-48
We propose a flexible unsupervised PolSAR land classification system based on quaternion neural networks. The existing ... [more] EMT2017-48
pp.37-42
SANE 2017-10-05
14:20
Tokyo Maison franco - japonaise (Tokyo) Unsupervised Adaptive PolSAR Land Classification System Using Quaternion Neural Networks
Hyunsoo Kim, Akira Hirose (Univ. of Tokyo) SANE2017-57
We propose an unsupervised adaptive PolSAR land classification system using quaternion neural networks. Most of the exis... [more] SANE2017-57
pp.73-78
SANE 2016-11-24
15:10
Overseas National Taipei University of Technology (NTUT) Landslide displacement investigation and mechanism with various satellite radar data
Kuo-Lung Wang, Jun-Tin Lin (NCNU) SANE2016-67
Landslide hazard is an important issue in Taiwan, where an island locates between plates. This study collects landslide ... [more] SANE2016-67
pp.81-86
IBISML 2015-11-27
14:00
Ibaraki Epochal Tsukuba [Poster Presentation] Recursive Ensemble Land Cover Classification for Few Training Data and Many Class
Yu Oya, Katsutoshi Kanamori, Hayato Ohwada (TUS) IBISML2015-77
Many global and environmental applications require land use and land cover information. A land cover classification is o... [more] IBISML2015-77
pp.183-188
EMCJ, IEE-EMC, IEE-MAG 2015-06-25
14:20
Overseas KMITL, Thailand [Invited Talk] Development of EMC toolkit for undergraduate laboratory based on Buddhist's precept
Werachet Khan-ngern (KMITL) EMCJ2015-23
This paper presents the development of electromagnetic compatibility (EMC) toolkit for undergraduate laboratory. The obj... [more] EMCJ2015-23
p.43
RCS 2014-06-19
09:30
Okinawa Okinawa-ken Seinenkaikan (Naha) [Invited Talk] The Future of Radio Use, 5G
Hideo Fuseda (MIC) RCS2014-85
This paper presents the Ministry’s efforts along with ‘The 5G Roadmap’ contained in the interim report of ‘Radio Policy ... [more] RCS2014-85
pp.311-314
IA 2013-10-11
16:30
Overseas Konkuk Univ., Seoul Digital Infrastructure Ecology -- Adopting Landscape Ecology Means for Planning IT Infrastructure and Smart Grid --
Sunglim Lee, Koji Okamura (Kyushu Univ.) IA2013-40
Currently only qualitative information or statistical information is available for planning digital infrastructure inclu... [more] IA2013-40
pp.75-80
PRMU 2013-10-04
13:30
Chiba   Landscape image recognition of Science DCP for calibration of land cover map
Kenji Iwata, Ryushi Ozaki, Koki Iwao, Isao Kojima (AIST) PRMU2013-60
Land cover map is estimated from the reflection characteristics of the satellite sensor. Accuracy of land cover maps is ... [more] PRMU2013-60
pp.17-22
PRMU, MVE, IPSJ-CVIM [detail] 2011-01-21
18:25
Shiga   The Restoration of Streetscape for Constructing Digital Museum -- A Case Study of Sanjo Street in Kyoto --
Keiji Yano, Toshikazu Seto (Ritsumeikan Univ.), Dai Kawahara, Sadaaki Hayamizu (CAD CENTER CO.) PRMU2010-199 MVE2010-124
The purpose of this paper is to restore present and past street landscapes within Virtual Kyoto. Virtual Kyoto is a hist... [more] PRMU2010-199 MVE2010-124
pp.383-385
NC, MBE
(Joint)
2009-03-13
13:50
Tokyo Tamagawa Univ. Performance improvement of the ring-CSOM landmine visualization system by regarding the local feature in the frequency domain as intrinsic information
Yohei Nakamura, Yukimasa Nakano, Akira Hirose (Tokyo Univ.) NC2008-170
The landmine visualization system based on complex-valued neural networks is expected to realize the detection of plasti... [more] NC2008-170
pp.393-398
ITS, IPSJ-ITS, IEE-ITS 2007-09-19
15:45
Tokyo Institute of Industrial Science, University of Tokyo Positioning Method Using Camera Phone and Landmark for Pedestrian Navigation
Masahito Honda, Nozomu Togawa, Masao Yanagisawa, Tatsuo Ohtsuki (Waseda Univ.) ITS2007-29
A navigation service on a mobile phone for pedestrians has been increasing in recent years.The method using GPS or base-... [more] ITS2007-29
pp.33-38
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