日本語
The University of Electro-Communications 
Graduate School of Informatics and Engineering, School of Informatics and Engineering 
"Department of Computer and Network Engineering, Cluster II (Emerging Multi-interdisciplinary Engineering)" 

Associate Professor 
Fang SHANG 

Academic background
ハルビン第三中学校  2005/08/31  Graduated 
HARBIN INSTITUTE OF TECHNOLOGY  ELECTRICAL ENGINEERING AND AUTOMATICS  2009/08/31  Graduated 
HARBIN INSTITUTE OF TECHNOLOGY  ELECTRICAL ENGINEERING AND AUTOMATICS  2011/08/31  Completed 
THE UNIVERSITY OF TOKYO  Department of Electrical Engineering and Information Systems  2014/09/30  Completed 

Academic degrees
工学博士  The University of Tokyo  2014/09/26 

Classes responsible within the university
2019  基礎科学実験  Spring semester  Undergraduate, daytime 
2019  マイクロ波導波管実験  Fall semester  Undergraduate, daytime 
2019  情報・通信工学基礎(卒業研究紹介)  Fall semester  Undergraduate, daytime 
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Current research areas
Communication/ Network engineering 

Current research subjects
Imaging processing for ultrawideband radar and polarimetric synthetic aperture radar.  2015/01/01-2017/03/31 

Published papers
Paper  Yes  Coniferous and Broad-Leaved Forest Distinguishing Using L-Band Polarimetric SAR Data  Joint  F.Shang, T.Saito, S.Ohi, N.Kishi  IEEE Transactions on Geoscience and Remote Sensing  to appear  2020 
Paper  Yes  Data Arrangement with Rotation Transformation for Fully Polarimetric Synthetic Aperture Radar  Joint  F.Shang, X. Huang, H. Liu, and A. Hirose  IEEE Geoscience and Remote Sensing Letters  17/ 3, 436-440  2019 
Paper  Yes  Degree of Polarization Based Data Filter for Fully Polarimetric Synthetic Aperture Radar  Joint  F.Shang, N.Kishi, A.Hirose  IEEE Transactions on Geoscience and Remote Sensing  57/ 6, 3767-3777  2019 
Paper  Yes  Super-Resolution Time of Arrival Estimation Using Random Resampling in Compressed Sensing  Joint  Masanari Noto, Fang Shang, Shouhei Kidera and Tetsuo Kirimoto  IEICE Trans. Commun.  E101-B  2018 
Paper  Yes  Isotropization of quaternion-neural-network-based PolSAR adaptive land classification in Poincare-sphere parameter space  Joint  K.Kinugawa, F.Shang,N.Usami,A.Hirose  Geoscience and Remote Sensing Letters  15/ 8, 1234-1238  2018 
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Research presentations
Oral presentation for an academic conference  四元数ニューラルネットワークによる高層建造物区域と低層建造物区域の分類  宇宙・航行エレクトロニクス研究会(SANE)  No  2020/04/22 
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