| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CQ, CBE (Joint) |
2019-01-17 10:30 |
Tokyo | Tokyo Metropolitan Univ. | Synthetic Trace Generation for Tag Based File Management Systems Nami Kuge, Marat Zhanikeev (Tokyo Univ. of Science)  CQ2018-76 |
With rapidly growing volume of enterprise data, there is a need for tag-based file management system. However, while the... [more] | CQ2018-76 pp.1-6 |
| PRMU | 2018-12-14 14:25 |
Miyagi | Training of Traffic Sign Detector and Classifier Using Synthetic Road Scenes Akira Sekizawa, Katsuto Nakajima (TDU) PRMU2018-89 |
This paper proposes a method of providing an end-to-end object recognition system based on deep learning that uses synth... [more] | PRMU2018-89 pp.73-78 |
|
| 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 | 2018-10-12 13:30 |
Tokyo | The University of Electro-Communications | Automatic Target Recognition based on Generative Adversarial Networks for Synthetic Aperture Radar Images Yang-Lang Chang, Bo-Yao Chen, Chih-Yuan Chu, Sina Hadipour (NTUT), Hirokazu Kobayashi (OIT) SANE2018-51 |
Synthetic Aperture Radar (SAR) is an all day and all weather condition imaging technique which is widely used in nationa... [more] | SANE2018-51 pp.41-44 |
| SANE | 2018-05-14 11:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | SAVERS: SAR ATR with Verification Support Based on Convolutional Neural Network Hidetoshi Furukawa SANE2018-5 |
We propose a new convolutional neural network (CNN) which performs coarse and fine segmentation for end-to-end synthetic... [more] | SANE2018-5 pp.23-28 |
| 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 | 2018-01-25 13:50 |
Nagasaki | Nagasaki Prefectural Art Museum | Sea surface phenomena observed by airborne SAR Akitsugu Nadai (NICT) SANE2017-90 |
Since 1990 's, the National Institute of Information and Communications Technology has developed airborne synthetic aper... [more] | SANE2017-90 p.27 |
| SANE | 2018-01-25 14:50 |
Nagasaki | Nagasaki Prefectural Art Museum | Deep Learning for End-to-End Automatic Target Recognition from Synthetic Aperture Radar Imagery Hidetoshi Furukawa (Toshiba Infrastructure Systems & Solutions) SANE2017-92 |
The standard architecture of synthetic aperture radar (SAR) automatic target recognition (ATR) consists of three stages:... [more] | SANE2017-92 pp.35-40 |
| SANE | 2017-08-24 13:50 |
Osaka | OIT UMEDA Campus | Deep Learning for Target Classification from SAR Imagery
-- Data Augmentation and Translation Invariance -- Hidetoshi Furukawa (Toshiba Infrastructure Systems & Solutions) SANE2017-30 |
This report deals with translation invariance of convolutional neural networks (CNNs) for automatic target recognition (... [more] | SANE2017-30 pp.13-17 |
| SANE | 2017-08-25 14:20 |
Osaka | OIT UMEDA Campus | Study on Simple Imaging by Squint-mode SAR with Millimeter Wave Automotive Radar Takumi Kobayashi, Hiroyoshi Yamada, Shogo Muramatsu (Niigata Univ.), Yuuichi Sugiyama (FUJITSU TEN), Yoshio Yamaguchi (Niigata Univ.) SANE2017-41 |
An application of various sensors for a automobile is studied to realize safety automatic driving technology. A millimet... [more] | SANE2017-41 pp.71-76 |
| AP | 2017-03-16 10:30 |
Iwate | Iwate Univ. | Monitoring of Infrastructure by GB-SAR Motoyuki Sato, Lilong Zou, Giovanni NIco (Tohoku Univ.) AP2016-179 |
In this report we demonstrate examples Ground Based Synthetic Aperture Radar (GB-SAR) to practical applications, which i... [more] | AP2016-179 pp.11-16 |
| SANE | 2017-01-27 14:45 |
Nagasaki | Nagasaki Prefectural Art Museum | Synthetic Aperture Processing in Consideration of a Radius to the Hemispherical Breast Phantom with the Breast Cancer Junpei Oishi, Toshiyuki Tanaka, Toshifumi Moriyama (Nagasaki Univ.) SANE2016-115 |
This is a report on simple breast cancer detection using electromagnetic waves. Previous studies have estimated the sphe... [more] | SANE2016-115 pp.109-114 |
| SANE | 2016-11-24 13:50 |
Overseas | National Taipei University of Technology (NTUT) | SAR IMAGING SIMULATION BASED ON THE EXTENDED TARGET MODEL Chiung-Shen Ku (National Central Univ.), Kun-Shan Chen, Saibun Tjuatja (University of Texas at Arlington), Pao-Chi Chang (National Central Univ.), Yang-Lang Chang (National Taipei University of Technology) SANE2016-59 |
SAR measures scattered, either by bistatic or monostatic configurations, in time-frequency (delay time - Doppler frequen... [more] | SANE2016-59 pp.43-46 |
| SANE | 2016-10-21 09:50 |
Osaka | OIT UMEKITA Knowledge Center | [Invited Talk]
Lab Color Space Assignment for Decomposed Fully Polarisation SAR Image Cheng-Yen Chiang (NCU), Kun-Shan Chen (UTA), Chin-Yuan Chu (G-AVE), Yoshio Yamaguchi (Niigata Univ.), Kuo-Chin Fan (NCU) |
Color encoding or assignment of multi-polarization or fully polarimetric synthetic aperture radar (PolSAR) image is vita... [more] | |
| AP, SAT, SANE (Joint) |
2016-07-22 11:35 |
Hokkaido | Otaru port marina | Fundamental Study on SAR with Millimeter Wave Automotive Radar by Using Compressed Sensing Yusuke Kobayashi, Hiroyoshi Yamada, Yoshio Yamaguchi (Niigata Univ.), Yuuichi Sugiyama (Fujitsu TEN) SANE2016-30 |
Advanced driver assistance systems, such as active cruise control, has been widely developed to achieve safe and secure ... [more] | SANE2016-30 pp.47-52 |
| SANE | 2015-11-27 14:35 |
Miyagi | Tohoku University, Katahira Sakura Hall | A long-term monitoring of a landslide slope in Kurihara-city, Miyagi, by GB-SAR Kazunori Takahashi, Lilong Zou, Motoyuki Sato (Tohoku Univ.) SANE2015-80 |
In the present report, an example of a ground-based synthetic aperture radar (GB-SAR) measurement for the displacement o... [more] | SANE2015-80 pp.85-90 |
| AP, RCS, WPT, SAT (Joint) |
2015-11-04 17:20 |
Okinawa | Okinawa Prefectural Museum & Art Museum | On Scattering Component Decomposition of POLSAR data for Airborne Repeat-Pass Observation Hiroyoshi Yamada, Fumiki Urasawa, Yoshio Yamaguchi, Ryoichi Sato (Niigata Univ.) AP2015-125 |
Recently, polarimetric Synthetic Aperture Radar (POLSAR) observation can be realized in many platforms. Many technique... [more] |
AP2015-125 pp.87-92 |
| AP, SANE (Joint) |
2015-08-28 15:10 |
Ibaraki | Ibaragi Univ. Mito Campus | [Invited Lecture]
Proposal of Synthetic Aperture Radar Information Structurization by Using Neural Networks Satoshi Tsuda, Akira Hirose (Univ. Tokyo) AP2015-77 SANE2015-39 |
Recent earth observation data gathered by satellite-borne synthetic aperture radar (SAR) systems grow very rapidly. For ... [more] | AP2015-77 SANE2015-39 pp.95-100(AP), pp.31-36(SANE) |
| NC, MBE | 2015-03-16 10:30 |
Tokyo | Tamagawa University | Adaptive land classification by two-stage clustering in satellite-borne polarimetric synthetic aperture radar images Yuto Takizawa (UT), Fang Shang (UEC), Akira Hirose (UT) MBE2014-162 NC2014-113 |
We have been investigating possible methods to extract useful information from full polarimetric observation data of syn... [more] | MBE2014-162 NC2014-113 pp.253-258 |
| SANE | 2015-01-22 13:50 |
Nagasaki | Nagasaki Prefectural Art Museum | Preliminary Results of Polarimetric Circular SAR Image Analysis Takuma Watanabe, Hiroyoshi Yamada, Ryoichi Sato, Yoshio Yamaguchi (Niigata Univ.) SANE2014-107 |
Circular synthetic aperture radar (CSAR) is an imaging technique of which the radar trajectory takes a circular form, an... [more] | SANE2014-107 pp.13-18 |
[Return to Top Page]