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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 45  /  [Next]  
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, 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 2021-11-04
15:50
Online Online [Invited Lecture] On fundamental of scattering power decomposition using polarimetric SAR data
Ryoichi Sato, Yoshio Yamaguchi, Hiroyoshi Yamada (Niigata Unv.) EMT2021-35
In this report, we introduce the model-based scattering power decomposition method. It is a polarimetric analysis method... [more] EMT2021-35
pp.36-40
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
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