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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| SANE | 2022-11-10 | Chiba | Chiba Univ. (Nishi-Chiba Campus) (Primary: On-site, Secondary: Online) |
[Special Talk]
Development of an Earth observation system for the carbon neutral society driven by an Industry-Academia collaboration Yoichi Yatsu (Tokyo Tech) |
A concept of land and sea spectral observation conducted by a industry-academia collaboration is presented. The micro-s... [more] | |
| 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 |
| IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2021-06-04 11:15 |
Online | Online | Robust Constrained Hyperspectral Unmixing Using Multiple Regularizations Yuki Nagamatsu, Shunsuke Ono (Tokyo Tech) SIP2021-9 BioX2021-9 IE2021-9 |
(To be available after the conference date) [more] | SIP2021-9 BioX2021-9 IE2021-9 pp.41-45 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 14:25 |
Kagoshima | Kagoshima University | IMQ2018-72 IE2018-156 MVE2018-103 |
(To be available after the conference date) [more] | IMQ2018-72 IE2018-156 MVE2018-103 pp.273-277 |
| EA, SIP, SP | 2019-03-15 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
A compressed sensing approach to hyperspectral pansharpening Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech) EA2018-137 SIP2018-143 SP2018-99 |
(To be available after the conference date) [more] | EA2018-137 SIP2018-143 SP2018-99 pp.223-227 |
| 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 |
| EID, ITE-IDY, ITE-HI, ITE-3DMT, IEE-OQD, SID-JC [detail] | 2017-10-26 14:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg | Toward a color display fused with its surrounding environment
-- Evaluation of the influence of visual-field metamerism using a hyperspectral display -- Masahiro Yamaguchi, Yukako Nakama (Tokyo Inst. of Tech.), Keiji Uchikawa (Kanagawa Univ.) EID2017-8 |
By matching the background color in the display with the color of the real world around the display, it is expected to r... [more] | EID2017-8 pp.11-14 |
| 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 |
| ICM, LOIS | 2016-01-21 13:30 |
Fukuoka | Fukuoka Institute of Technology | Search of index of analysis components in relation to crops using reflectance spectra Yuki Minetomo, Yukikazu Murakami (KNCT), Shin Satori (HUS), Tomonori Ito (Hokkaido Satellite Co., Ltd.), Mitsuru Nakanishi (Kagawa Prefectural Agricultural Experiment Station), Yukinori Misaki (KNCT) ICM2015-26 LOIS2015-48 |
In this article, we searched index of componential analysis that does not requiring sampling and destructive inspectio... [more] |
ICM2015-26 LOIS2015-48 pp.1-6 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2015-09-14 13:30 |
Ehime | Discussion of Relationship Between Color Perception and Hyperspectral Data Yuko Ozasa (AIST), Naoko Enami (Kobe Univ.), Kenji Iwata, Yutaka Satoh (AIST) PRMU2015-68 IBISML2015-28 |
Household robot needs to understand ambiguous request by a human. In the task of object identification, one of the mos... [more] |
PRMU2015-68 IBISML2015-28 pp.7-12 |
|
| IBISML | 2013-07-18 11:30 |
Tokyo | Nishiwaseda Campus (Waseda univ.) | Estimation of Local Coordinates in Low Dimensional Subspace based on Semi-Supervised Learning with Order Constraints
-- Local Coordinate Extraction from Optical Hyperspectral Data of Vegetation -- Kuniaki Uto (Tokyo Tech.) IBISML2013-5 |
We propose a new method, semi-supervised manifold coordinate projection under order constraints (SMCPOC), and the two va... [more] | IBISML2013-5 pp.27-34 |
| IBISML | 2013-07-18 14:20 |
Tokyo | Nishiwaseda Campus (Waseda univ.) | Detection of abnormal data based on linear classifiers using local coordinates on a normal class
-- Tree disease detection in hyperspectral forest images -- Kuniaki Uto (Tokyo Tech.) IBISML2013-8 |
We propose a new linear classification method in the framework of the generalized eigenvalue problem in which the singul... [more] | IBISML2013-8 pp.51-58 |
| HIP | 2009-10-30 13:30 |
Fukuoka | Kyushu Univ. | The relationship of natural scenes and optimal color Yusuke Kitazawa, Keiji Uchikawa (Tokyo Inst. of Tech.) HIP2009-88 |
The human visual system can stably perceive the color of the objects or surface despite the change of the illuminant. In... [more] | HIP2009-88 pp.77-80 |
| SANE | 2009-06-26 17:00 |
Ibaraki | Tsukuba Space Center (JAXA) | The Space-borne Hyper-spectral and Multi-spectral Sensor Development Nagamitsu Ohgi, Kenji Tatsumi, Hisashi Harada, Toneo Kawanishi (JAROS), Toshito Narimatsu, Hitomi Inada, Takahiro Kawashima (NEC) SANE2009-46 |
In this report, the development status of the space-borne Hyper-spectral and Multi-spectral sensor is described. The tar... [more] | SANE2009-46 pp.181-184 |
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