Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
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 |
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 |
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 |
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 |