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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2023-07-25 09:00 |
Hokkaido | Hokkaido Jichiro Kaikan | CNN-Based Iris Recognition Using Multi-spectral Iris Images Ryosuke Kuroda, Tetsuya Honda, Hironobu Takano (Toyama Prefectural Univ.)  ISEC2023-36 SITE2023-30 BioX2023-39 HWS2023-36 ICSS2023-33 EMM2023-36 |
Iris recognition using a near-infrared camera is generally known as a biometric authentication method with high accuracy... [more] | ISEC2023-36 SITE2023-30 BioX2023-39 HWS2023-36 ICSS2023-33 EMM2023-36 pp.147-151 |
| PRMU, IPSJ-CVIM | 2023-05-19 15:55 |
Aichi | (Primary: On-site, Secondary: Online) |
Assessment of sensor characteristics on compressive spectral imaging with Spectrally-varying PSFs Ryo Shirakawa, Yoko Sogabe, Ayumi Matsumoto, Masaki Kitahara (NTT) PRMU2023-14 |
Compressed spectral imaging with Spectrally-varying PSFs is a technique acquiring 3D spectral data cube based on compres... [more] | PRMU2023-14 pp.74-79 |
| MSS, SS | 2023-01-11 15:50 |
Osaka | (Primary: On-site, Secondary: Online) |
Improvement of Composite SVM in HSI Classification Tamura Akito, Kitamura Takuya (NIT) MSS2022-61 SS2022-46 |
In this paper, we propose an improved method of composite support vector machines for hyper-spectral image classificatio... [more] | MSS2022-61 SS2022-46 pp.96-100 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 13:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Joint-Conditional Mutual Information Based Feature Subset Selection for Remotely Sensed Hyperspectral Image Classification U A Md Ehsan Ali, Keisuke Kameyama (Univ. Tsukuba) NC2022-16 IBISML2022-16 |
Hundreds of contiguous bands of remotely sensed hyperspectral image (HSI) capture the spectral signatures of observed ob... [more] | NC2022-16 IBISML2022-16 pp.115-122 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Computational Reduction of Sound Field Synthesis by Approximating Source Trajectory Kentaro Matsui, Yo Sasaki (NHK) EA2021-68 SIP2021-95 SP2021-53 |
The sound field synthesis is a method for physically synthesizing a desired sound field by superimposing sound waves emi... [more] | EA2021-68 SIP2021-95 SP2021-53 pp.27-31 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Hyperspectral Image Denoising by Graph Spatio-Spectral Total Variation Minimization Shingo Takemoto, Kazuki Naganuma, Shunsuke Ono (Tokyo Tech) EA2021-70 SIP2021-97 SP2021-55 |
We propose a novel denoising method for hyperspectral images (HSI) based on the Graph Spatio-Spectral Total Variation (G... [more] | EA2021-70 SIP2021-97 SP2021-55 pp.38-43 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Robust Hyperspectral Anomaly Detection via Component Decomposition Based on Convex Optimization Koyo Sato, Shunsuke Ono (Tokyo Tech) EA2021-71 SIP2021-98 SP2021-56 |
Anomaly detection in hyperspectral (HS) images is a technique to identify pixels whose spectral wavelengths differ from ... [more] | EA2021-71 SIP2021-98 SP2021-56 pp.44-49 |
| SIP | 2021-08-23 15:40 |
Online | Online | [Invited Talk (Young Researcher)]
Hyperspectral image restoration based on convex optimization Saori Takeyama (Tokyo Tech) SIP2021-31 |
Hyperspectral (HS) images have high-resolution spectral information including invisible light, so they can visible the i... [more] | SIP2021-31 p.18 |
| SeMI, IPSJ-MBL, IPSJ-DPS, IPSJ-ITS | 2021-05-27 09:50 |
Online | Online | Investigation and Evaluation Experiment of Noise Removal for Voice Recognition in Specific Noisy Environment Shota Sano, Fumitaka Murakami, Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) SeMI2021-2 |
In this manuscript, the noise removal performance and speech recognition accuracy is described when noise is removed by ... [more] | SeMI2021-2 pp.5-10 |
| PRMU, IPSJ-CVIM | 2021-03-05 10:30 |
Online | Online | Remote estimation of relative sugar content in persimmon field by UAV with multi-spectral camera Katsuya Oseki, Yasushi Kanazawa (Toyohashi University of Tech.) PRMU2020-88 |
For measuring sugar content of a fruit, we usually use a refractometer or a special device based on spectroscopy. A ref... [more] | PRMU2020-88 pp.109-114 |
| OFT | 2021-01-15 13:20 |
Online | Online | [Invited Talk]
MMI spatio-spectral encoder for single fiber fluorescence imaging Takashi Katagiri (Univ. of Toyama) OFT2020-50 |
A multimode interference-based spectral encoder is proposed to realize minimally invasive imaging of the nerve cells in ... [more] | OFT2020-50 pp.28-31 |
| MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2020-05-28 16:20 |
Online | Online | Adaptive selection of near infrared multispectral image signals for measurement of oxygen saturation Takehiro Sone, Yoshihiro Maeda (TUS), Daisuke Sugimura (Tsuda Univ.), Takayuki Hamamoto (TUS) |
In this paper, we propose a method of measuring oxygen saturation that is robust to varying visible light by using a nea... [more] | |
| SANE | 2019-10-31 11:40 |
Overseas | KOREA (Jeju) | Coastal Activity Risk Assessment using Aviation Images and Hyperspectral Images Ho-Kun Jeon, Chan-Su Yang (KIOST) SANE2019-52 |
Coastal activities cause an increasing number of human casualties. This study purpose of assessing coastal activity risk... [more] | SANE2019-52 pp.29-32 |
| SANE | 2019-10-31 12:20 |
Overseas | KOREA (Jeju) | Estimation of Ship Velocity from Multispectral Satellite Image Tae-Ho Kim, JeongJu Bae, Chan-Su Yang (KIOST) SANE2019-54 |
In this study, we present the estimation results of ship velocity using a multispectral satellite image. In the case of ... [more] | SANE2019-54 pp.37-40 |
| SDM | 2019-10-24 15:40 |
Miyagi | Niche, Tohoku Univ. | Gas concentration distribution measurement in semiconductor process chamber using a high SNR CMOS absorption image sensor Keigo Takahashi, Yhang Ricardo Sipauba Carvalho da Silva, Rihito Kuroda, Yasuyuki Fujihara, Maasa Murata, Hidekazu Ishii, Tatsuo Morimoto, Tomoyuki Suwa, Akinobu Teramoto, Shigetoshi Sugawa (Tohoku Univ.) SDM2019-66 |
This paper reports on gas concentration imaging using lateral overflow integration trench capacitor(LOFITreC) CMOS absor... [more] | SDM2019-66 pp.65-68 |
| EA, ASJ-H | 2019-08-09 11:00 |
Miyagi | Tohoku Univ. | Study on Noise Suppression by Differential-type Microphone Array and Machine Learning of 2D Spectrum Koichiro Shiozawa, Kenji Ozawa (Univ. Yamanashi), Tomohiko Ise (AlpsAlpine) EA2019-31 |
This project aims to achieve noise suppression by processing of the output of a microphone array with an artificial neur... [more] | EA2019-31 pp.53-58 |
| IMQ, HIP | 2018-07-20 13:30 |
Hokkaido | Sapporo City University, Satellite Campus | [Invited Lecture]
Inpainting based on low-dimensional image approximation and its applications Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) IMQ2018-5 HIP2018-32 |
This paper introduces inpainting based on low-dimensional image approximation and its applications. Specifically, low-di... [more] | IMQ2018-5 HIP2018-32 pp.1-4 |
| SIP, IT, RCS | 2018-01-22 13:55 |
Kagawa | Sunport Hall Takamatsu | Hyperspectral Image Restoration Ryuji Kurihara, Masahiro Okuda (Kitayu U.) IT2017-73 SIP2017-81 RCS2017-287 |
We propose a new regularization function for hyperspectral image (HSI) restoration. Spatial-smoothness-based regularizat... [more] | IT2017-73 SIP2017-81 RCS2017-287 pp.107-111 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 14:45 |
Hokkaido | Hokkaido Univ. | Mixed noise removal of hyperspectral images by hybrid spatio-spectral total variation reguralization Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech.) ITS2016-58 IE2016-116 |
Since hyperspectral image (HSI) contains rich spectral information, it has been recognized as a key technology in many f... [more] | ITS2016-58 IE2016-116 pp.281-285 |
| SANE | 2016-11-24 14:50 |
Overseas | National Taipei University of Technology (NTUT) | Hybrid PSO and GSA-based Band Prioritization for Band Selection of High Dimensional Data Sets Yang Lang Chang, Yung-Hao Lai, Ming-Xiu Xu, Jyh-Perng Fang (NTUT), Chihyuan Chu (G-AVE Technology Corporation) SANE2016-64 |
With the progress of remote sensing technology, the numbers of bands of hyperspectral images are increased rapidly. Howe... [more] | SANE2016-64 pp.67-70 |
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