Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, MBE (Joint) |
2024-03-11 10:50 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Spatiotemporal Prediction and Anomaly Detection in Polarimetric Synthetic Aperture Radar Using Quaternion Reservoir Computing Kitoshi Kawai, Bungo Konishi, Ryo Natsuaki, Akira Hirose (UTokyo.) NC2023-44 |
Synthetic aperture radar (SAR) is a remote sensing technology that uses microwaves to generate high-resolution images of... [more] |
NC2023-44 pp.7-12 |
SANE, SAT (Joint) |
2023-03-02 15:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Detection of Damaged Area caused by Earthquake based on Seven-Component Scattering Power Decomposition of Fully Polarimetric SAR Momoko Sumida, Fang Shang, Noto Kishi (UEC) SANE2022-102 |
Algorithm on detecting damaged area caused by earthquake by using synthetic aperture radar is highly expected. However, ... [more] |
SANE2022-102 pp.19-24 |
SANE |
2023-01-20 10:25 |
Tokyo |
(Primary: On-site, Secondary: Online) |
* Yasuhiro Okaniwa, Fang Shang, Naoto Kishi (UEC) SANE2022-91 |
Observation of buildings by polarimetric SAR is one of the research topics that have attracted much attention because of... [more] |
SANE2022-91 pp.18-21 |
SANE |
2022-12-16 11:25 |
Nagasaki |
Nagasaki Public Hall (Primary: On-site, Secondary: Online) |
Polarimetric SAR Ship Detection Based on Sparse Reconstruction Error Saliency Jiahao Luo, Junjun Yin (USTB), Jian Yang (THU) SANE2022-79 |
Ship detection is one of the important applications of polarimetric synthetic aperture radar(SAR) images. In this study,... [more] |
SANE2022-79 pp.80-84 |
SANE |
2022-12-16 13:55 |
Nagasaki |
Nagasaki Public Hall (Primary: On-site, Secondary: Online) |
Study on Volume Scattering Model in Scattering Power Decomposition for PolSAR Data Masato Kawada, Hiroyoshi Yamada, Ryoichi Sato (Niigata Univ.) SANE2022-82 |
The main objective of this paper is to improve the classification accuracy of PolSAR data for urban areas. In the PolSAR... [more] |
SANE2022-82 pp.95-99 |
SANE |
2022-12-16 14:15 |
Nagasaki |
Nagasaki Public Hall (Primary: On-site, Secondary: Online) |
Land Cover Classification for Polarimetric SAR Images Based on Vision Transformer Hongmiao Wang, Danwei Lu (Tsinghua Univ.), Junjun Yin (USTB), Jian Yang (Tsinghua Univ.) SANE2022-83 |
Deep learning methods have been widely studied for polarimetric synthetic aperture radar (PolSAR) land cover classificat... [more] |
SANE2022-83 pp.100-104 |
EMT, IEE-EMT |
2022-11-17 09:35 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
A RFI detection method in SAR using the complex amplitude information of dual polarization Akira Uozumi, Akira Hirose, Ryo Natsuaki (UT) EMT2022-52 |
We propose a method to detect radio frequency interference (RFI) superimposed on synthetic aperture radar (SAR) images u... [more] |
EMT2022-52 pp.47-52 |
AP |
2022-10-19 09:30 |
Gifu |
GIFU CITY CULTURE CENTER (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Fundamental Study on Improvement of Misclassification of Urban Areas in Scattering Power Decomposition for PolSAR Data Masato Kawada, Hiroyoshi Yamada, Ryoichi Sato (Niigata Univ.) AP2022-108 |
Recently, classification of ground surfaces using Polarimetric Synthetic Aperture Radar (PolSAR) data has been expected ... [more] |
AP2022-108 pp.65-69 |
AP, SANE, SAT (Joint) |
2022-07-27 12:40 |
Hokkaido |
Asahikawa Taisetsu Crystal Hall (Primary: On-site, Secondary: Online) |
Fundamental Study on Misclassification of Urban Areas in Scattering Power Decomposition for PolSAR Data Yuta Suzuki, Hiroyoshi Yamada, Ryoichi Sato (Niigata Univ.) AP2022-37 SANE2022-22 SAT2022-18 |
Recently, classification of ground surfaces using Polarimetric Synthetic Aperture Radar (PolSAR) data has been expected ... [more] |
AP2022-37 SANE2022-22 SAT2022-18 pp.17-21(AP), pp.1-5(SANE), pp.7-11(SAT) |
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 |
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 |
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 |
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 |
SANE |
2018-11-08 14:30 |
Overseas |
China (Xuchang) |
Model-Based Target Classification Using Polarimetric Similarity with Coherency Matrix Elements Maito Umemura, Yoshio Yamaguchi, Hiroyoshi Yamada (Niigata Univ.) SANE2018-59 |
In this report, we propose a model-based target classification technique using polarimetric similarity with the ensemble... [more] |
SANE2018-59 pp.21-26 |
SANE |
2018-11-08 14:50 |
Overseas |
China (Xuchang) |
A Novel Method Using Convolutional Neural Network for Polarimetric SAR ship detection Kan Jin, Junjun Yin, Jian Yang (Tsinghua Univ.) SANE2018-60 |
This paper presents a novel approach for ship detection in polarimetric synthetic aperture radar (POLSAR) image with the... [more] |
SANE2018-60 pp.27-30 |
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 |
SANE |
2017-11-23 13:00 |
Overseas |
Malaysia (Borneo Island) |
Polarimetric Parameter for Detection of Double-Bounce Scattering Dominated Areas Junjun Yin (Univ. Science and Technology Beijing), Jian Yang (Tsinghua Univ.) SANE2017-64 |
Target backscatter of electromagnetic waves can be characterized by scattering mechanisms, scattering depolarization, an... [more] |
SANE2017-64 pp.7-12 |
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 |