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All Technical Committee Conferences (Searched in: All Years)
| 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) |
Proposal of Quaternion Reservoir Computing for Spatiotemporal Prediction and Anomaly Detection 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 | 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 |
| 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 |
| 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 |
| SANE | 2017-10-05 14:20 |
Tokyo | Maison franco - japonaise (Tokyo) | Unsupervised Adaptive PolSAR Land Classification System Using Quaternion Neural Networks Hyunsoo Kim, Akira Hirose (Univ. of Tokyo) SANE2017-57 |
We propose an unsupervised adaptive PolSAR land classification system using quaternion neural networks. Most of the exis... [more] | SANE2017-57 pp.73-78 |
| SANE | 2013-12-02 11:10 |
Overseas | VAST/VNSC(2nd Dec.) & Melia Hotel (3rd Dec), Hanoi, Vietnam | Accurate coherent change detection method using full polarimetric SAR imagery Ryo Oyama, Shouhei Kidera, Tetsuo Kirimoto (UEC) SANE2013-76 |
Microwave imaging technique, particular for synthetic aperture radar (SAR), provides us high-resolution terrain surface ... [more] | SANE2013-76 pp.29-33 |
| SANE, SAT (Joint) |
2013-02-22 14:45 |
Okinawa | Youth Center of Okinawa prefecture | A New Model-Based Scattering Power Decomposition Method for Polarimetric SAR Data Yi Cui, Yoshio Yamaguchi, Hirokazu Kobayashi, Sang-Eun Park (Niigata Univ.) SANE2012-162 |
In this report, we will introduce a new model-based scattering power decomposition method for polarimetric SAR (POLSAR) ... [more] | SANE2012-162 pp.79-86 |
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