Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SANE |
2021-11-11 09:10 |
Online |
Online |
[Invited Talk]
Synthetic Aperture Radar Over Ocean: A Review Kazuo Ouchi (IIS U-Tokyo) SANE2021-32 |
Since the first civilian spaceborne synthetic aperture radar (SAR) onboard SEASAT satellite in 1978, SAR has been used i... [more] |
SANE2021-32 pp.1-6 |
SANE |
2021-11-11 15:20 |
Online |
Online |
Comparison of change detectors by using satellite polarimetric SAR data Xiuting Zhang, Junjun Yin (Univ. of Science and Technology Beijing), Jian Yang (Tsinghua Univ.) SANE2021-49 |
Polarimetric SAR plays an important role in change detection. This paper analyzes the effectiveness of the currently ava... [more] |
SANE2021-49 pp.88-93 |
EMT, IEE-EMT |
2021-11-05 11:15 |
Online |
Online |
Quaternion convolutional neural networks for PolSAR land classification Yuya Matsumoto, Ryo Natsuaki, Akira Hirose (UTokyo) EMT2021-43 |
We propose a quaternion convolutional neural network (QCNN) for Polarimetric synthetic aperture radar
(PolSAR) land cla... [more] |
EMT2021-43 pp.76-81 |
SP, WIT, IPSJ-SLP, ASJ-H [detail] |
2021-10-19 09:10 |
Online |
Online |
Sign language generation tool using 3D motion data Teppei Miura, Shinji Sako (NIT) SP2021-24 WIT2021-17 |
Machine learnings play an important role in sign language recognition. However, sign language datasets are shortage the ... [more] |
SP2021-24 WIT2021-17 pp.1-5 |
AP |
2021-10-08 10:35 |
Online |
Online |
Sparse reconstruction and high-resolution imaging of synthetic aperture radar by using Deconvolution ISTA Masanori Gocho (NICT) AP2021-98 |
The image reconstruction process of the SAR is generally implemented by matched filtering, but its resolution is constra... [more] |
AP2021-98 pp.116-121 |
SANE |
2021-08-27 11:05 |
Online |
Online |
Satellite Data Fusion for damage assessment and analysis of the significant features Gunjan Joshi, Ryo Natsuaki, Akira Hirose (UT) SANE2021-29 |
Lately, the resolution and detection capabilities of remote sensing satellites specifically, synthetic aperture radars (... [more] |
SANE2021-29 pp.37-42 |
PRMU, IPSJ-CVIM, IPSJ-NL |
2021-05-21 10:30 |
Online |
Online |
A Study on Domain Adaptation for Video Action Classification Utilizing Synthetic Data. Hana Isoi (Ochanomizu Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ochanomizu Univ.) PRMU2021-5 |
The lack of learning data is considered as one of the reasons why the classification accuracies of deep neural networks ... [more] |
PRMU2021-5 pp.25-30 |
SANE |
2021-05-13 11:30 |
Online |
Online |
[Invited Talk]
RCS Evaluation by Electromagnetic Near-field to Far-field Transformation Hirokazu Kobayashi (EM System Lab) SANE2021-4 |
In this paper, we discuss the near-field to far-field transformation (NFFFT) theory for radar cross-section (RCS) of an ... [more] |
SANE2021-4 pp.15-26 |
NC, MBE (Joint) |
2021-03-05 09:55 |
Online |
Online |
Aspect classification by using complex-valued reservoir computing Bungo Konishi, Akira Hirose, Ryo Natsuaki (UT) NC2020-65 |
Synthetic aperture radar (SAR) is widely used for ground surface classification because of their information on vegetati... [more] |
NC2020-65 pp.127-132 |
SANE |
2021-01-28 14:15 |
Online |
Online |
Building Orientation Angle Estimation based on Dispersion Feature of Polarimetric Synthetic Aperture Radar data Reo Nagamine, Fang Shang, Naoto Kishi (UEC) SANE2020-40 |
Synthetic Aperture Radar (SAR) is collects information by transmitting and receiving microwaves. Orientation angle infor... [more] |
SANE2020-40 pp.16-19 |
SANE |
2021-01-29 13:45 |
Online |
Online |
Calibration of ground slope effect on Forest Observation using L-band Synthetic Aperture Radar data Yuki Watanabe, Fang Shang, Naoto Kishi (UEC) SANE2020-51 |
In previous work, we proposed a coniferous and broad-leaved forest distinguishing method based on the orientation parame... [more] |
SANE2020-51 pp.68-71 |
SANE |
2020-11-25 10:20 |
Online |
Online |
Observation of Hokkaido-Iburi-Tobu Earthquake by Deep Learning of SAR Images Yang Yu, Josaphat Tetuko Sri Sumantyo (Chiba Univ.) SANE2020-27 |
Environment of Japan is situated by steep mountains and some disasters as typhoons, heavy rains and earthquakes that cau... [more] |
SANE2020-27 pp.1-6 |
AP, RCS (Joint) |
2019-11-21 15:15 |
Saga |
Saga Univ. |
[Invited Lecture]
Results of applying spatial average MUSIC using multiple virtual arrays to THz-TDS measurement Kazuki Watakabe, Keizo Cho, Hiroaki Nakabayashi, Koji Suizu (CIT) AP2019-126 RCS2019-223 |
In synthetic aperture terahertz time-domain spectroscopy (THz-TDS) imaging, the correlation of the waves reflected from ... [more] |
AP2019-126 RCS2019-223 pp.107-112(AP), pp.115-120(RCS) |
EMT, IEE-EMT |
2019-11-07 15:15 |
Saga |
Hotel Syunkeiya |
Land classification using unsupervised quaternion neural network with neighbor pixel information Jungmin Song, Ryo Natusaki, Akira Hirose (The Univ. of Tokyo) EMT2019-57 |
(To be available after the conference date) [more] |
EMT2019-57 pp.117-122 |
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 |
AP, SANE, SAT (Joint) |
2019-07-19 13:05 |
Miyagi |
Tohoku Univ. |
Integration of GB-SAR and Spatial Data Processing for Real-Time Landslide Monitoring Delima Canny Valentine, Motoyuki Sato (Tohoku Univ.) SANE2019-31 |
This study is the continuation of landslide investigation and retrieval in Minami Aso, Kumamoto Prefecture, Japan. Groun... [more] |
SANE2019-31 pp.73-78 |
SANE |
2019-04-16 10:30 |
Kanagawa |
Defense Academy; Defense Training Institute |
Near-Field-to-Far-Field Transformation from an ISAR Image of a Target with Frequency-Dependent Reflectivity Takuma Watanabe, Daisuke Ogawa, Yoshiyuki Suzuki, Yasuyuki Oishi (Fujitsu) SANE2019-4 |
Radar sensing technologies are widely utilized in civilian applications such as automotive radar systems for collision a... [more] |
SANE2019-4 pp.15-20 |
SANE, SAT (Joint) |
2019-02-13 10:50 |
Kagoshima |
Tanegashima Island |
Layover Suppression Method with Single Pass PiSAR-X2 data Yumiko Katayama, Kei Suwa (MELCO) SANE2018-119 |
Layover is a ubiquitous phenomenon in Synthetic Aperture Radar (SAR) images and arises when different off-nadir angle re... [more] |
SANE2018-119 pp.51-54 |
SANE |
2019-01-24 14:50 |
Nagasaki |
Nagasaki Prefectural Art Museum |
Retrieval of Polarimetric and Azimuthal Angular Characteristics from Airborne Circular SAR Images Takuma Watanabe (Fujitsu), Hiroyoshi Yamada, Ryo Yamazaki (Niigata Univ.) SANE2018-94 |
Circular SAR (CSAR) is a synthetic aperture imaging technique which employs a circular flight trajectory of the radar-ca... [more] |
SANE2018-94 pp.25-30 |