Shang Fang 尚方

Researcher Number	90779050
Other IDs
Affiliation (Current)	2025: 電気通信大学, 大学院情報理工学研究科, 准教授
Affiliation (based on the past Project Information) *help	2021 – 2025: 電気通信大学, 大学院情報理工学研究科, 准教授 2020: 電気通信大学, 大学院情報理工学研究科, 助教 2016 – 2017: 電気通信大学, 大学院情報理工学研究科, 助教
Review Section/Research Field	Principal Investigator Basic Section 21030:Measurement engineering-related / Measurement engineering Except Principal Investigator Medium-sized Section 61:Human informatics and related fields
Keywords	Principal Investigator 合成開口レーダ / 人工物エリア解析 / 四元数ニューラルネットワーク / 人工物 / 偏波 / 都市解析 / 都市観測 / 計測工学 / データ解析 Except Principal Investigator エッジコンピューティング … More / 物理情報融合 / エッジコンピューテイング / 人工知能 / リモートセンシング / ニューラルネットワーク Less

ASV特徴量に基づく合成開口レーダデータ解析法の多観測モード展開と応用Principal Investigator
- Principal Investigator
  
  尚方
- Project Period (FY)
  2025 – 2029
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 21030:Measurement engineering-related
- Research Institution
  The University of Electro-Communications
Framework construction and engineering development of polarimetric-interferometric synthetic aperture radar based on phasor-quaternion neural networks
- Principal Investigator
  
  廣瀬明
- Project Period (FY)
  2023 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  The University of Tokyo
Synthetic Aperture Radar Data based Man-Made Target Interpretation Using ASV Feature ParametersPrincipal Investigator
- Principal Investigator
  
  Shang Fang
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 21030:Measurement engineering-related
- Research Institution
  The University of Electro-Communications
High Performance Polarimetric Synthetic Aperture Radar Data InterpretationPrincipal Investigator
- Principal Investigator
  
  Shang Fang
- Project Period (FY)
  2016 – 2017
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Measurement engineering
- Research Institution
  The University of Electro-Communications

All 2023 2022 2021 2020 2018 2017

All Journal Article Presentation

[Journal Article] Built-Up Area Detection based on Degree of Polarization Analysis in Frequency Domain Using Fully PolSAR Data2023
- Author(s)
  Fang Shang
- Journal Title
  
  IEEE transactions on Geoscience and Remote Sensing
  
  Volume: to appear Pages: 1-12
- DOI
  10.1109/tgrs.2023.3276001
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K14749
[Journal Article] Coniferous and Broad-Leaved Forest Distinguishing Using L-Band Polarimetric SAR Data2021
- Author(s)
  Shang Fang、Saito Taiga、Ohi Saya、Kishi Naoto
- Journal Title
  
  IEEE Transactions on Geoscience and Remote Sensing
  
  Volume: 59 Issue: 9 Pages: 7487-7499
- DOI
  10.1109/tgrs.2020.3032468
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K14749
[Journal Article] Isotropization of quaternion-neural-network-based PolSAR adaptive land classification in Poincare-sphere parameter space2018
- Author(s)
  K.Kinugawa F.Shang N.Usami A.Hirose
- Journal Title
  
  IEEE Geoscience and Remote Sensing Letters
  
  Volume: to appear
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16H06799
[Journal Article] Adaptive land classification and new class generation by unsupervised double-stage learning in Poincare sphere space for polarimetric synthetic aperture radars2017
- Author(s)
  Y. Takizawa, F. Shang, and A. Hirose
- Journal Title
  
  Neurocomputing
  
  Volume: to appear
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16H06799
[Presentation] Detection and Analysis of Collapsed Buildings after the Kumamoto Earthquake by Using ALOS2-PALSAR2 Data2023
- Author(s)
  Fang Shang, Momoko Sumida, Koki Oketani, Naoto Kishi
- Organizer
  2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14749
[Presentation] 全偏波合成開口レーダ7成分分解法を用いた地震被害区域の識別2023
- Author(s)
  住田桃子、尚方、來住直人
- Organizer
  電子情報通信学会
- Data Source
  KAKENHI-PROJECT-20K14749
[Presentation] 合成開口レーダデータを用いた機械学習による建物の向き・角度の判別2023
- Author(s)
  岡庭康浩、尚方、來住直人
- Organizer
  電子情報通信学会
- Data Source
  KAKENHI-PROJECT-20K14749
[Presentation] Frequency-Domain Analysis of DoP Information for Urban Area Interpretation Using Fully Polarimetric SAR Data2022
- Author(s)
  Fang Shang
- Organizer
  2022 IEEE International Geoscience and Remote Sensing Symposium IGARSS
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14749
[Presentation] Averaged Stokes Vector Features Based Man-Made Targets Analysis Using PolSAR Data2021
- Author(s)
  Fang Shang, Natsuki Fujiwara, Naoto Kishi
- Organizer
  2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14749
[Presentation] Calibration of ground slope effect on Forest Observation using L-band Synthetic Aperture Radar data2021
- Author(s)
  Y Watanabe, F Shang, N Kishi
- Organizer
  Y Watanabe, F Shang, N Kishi
- Data Source
  KAKENHI-PROJECT-20K14749
[Presentation] Discussion on Building Orientation Estimation Using Polarimetric Synthetic Aperture Radar Data2020
- Author(s)
  Fang Shang
- Organizer
  2020 IEEE International Geoscience and Remote Sensing Symposium
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14749
[Presentation] PolSAR data based high-rise building and low-rise building dominant areas Classification using quaternion neural networks2020
- Author(s)
  Natsuki Fujiwara, Fang Shang, Naoto Kishi
- Organizer
  IEICE SANE
- Data Source
  KAKENHI-PROJECT-20K14749
[Presentation] Automatic-Zooming-Type Window Size Optimization for PolSAR data interpretation2018
- Author(s)
  M. Sugita, N. Kishi, F.Shang
- Organizer
  Geoscience and Remote Sensing Symposium (IGARSS) 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06799
[Presentation] Combination Use of Multiple Window Sizes for Stokes Vector Based PolSAR Data Interpretation2017
- Author(s)
  F. Shang
- Organizer
  2016 IEEE Int’l. Geoscience and Remote Sensing Symposium (IGARSS2017)
- Place of Presentation
  Fortworth, America
- Year and Date
  2017-07-23
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06799
[Presentation] 四元数ニューラルネットワークに基づく全偏波合成開口レーダのデータ解析2017
- Author(s)
  尚　方
- Organizer
  第12回コンピューテーショナル・インテリジェンス研究会
- Invited
- Data Source
  KAKENHI-PROJECT-16H06799
[Presentation] Use of Coordinate Rotation Angle for Improving PolSAR Based Man-Made Target Detection2017
- Author(s)
  F.Shang, A. Hirose
- Organizer
  Int'l Symposium on Antennas and Propagation (ISAP) 2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06799
[Presentation] Combination Use of Multiple Window Sizes for Stokes Vector Based PolSAR data Interpretation2017
- Author(s)
  F.Shang, A. Hirose
- Organizer
  Int'l Geoscience and Remote Sensing Symposium (IGARSS) 2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06799

1. 廣瀬明 (70199115)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 宋奕成 (40982517)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 陳昊天 (50982500)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 夏秋嶺 (60748888)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 小西文昂 (00982513)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Shang Fang 尚 方

Research Projects

Research Products

Co-Researchers

ASV特徴量に基づく合成開口レーダデータ解析法の多観測モード展開と応用Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Framework construction and engineering development of polarimetric-interferometric synthetic aperture radar based on phasor-quaternion neural networks

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Synthetic Aperture Radar Data based Man-Made Target Interpretation Using ASV Feature ParametersPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

High Performance Polarimetric Synthetic Aperture Radar Data InterpretationPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Built-Up Area Detection based on Degree of Polarization Analysis in Frequency Domain Using Fully PolSAR Data2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Coniferous and Broad-Leaved Forest Distinguishing Using L-Band Polarimetric SAR Data2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Isotropization of quaternion-neural-network-based PolSAR adaptive land classification in Poincare-sphere parameter space2018

Author(s)

Journal Title

Data Source

[Journal Article] Adaptive land classification and new class generation by unsupervised double-stage learning in Poincare sphere space for polarimetric synthetic aperture radars2017

Author(s)

Journal Title

Data Source

[Presentation] Detection and Analysis of Collapsed Buildings after the Kumamoto Earthquake by Using ALOS2-PALSAR2 Data2023

Author(s)

Organizer

Data Source

[Presentation] 全偏波合成開口レーダ7成分分解法を用いた地震被害区域の識別2023

Author(s)

Organizer

Data Source

[Presentation] 合成開口レーダデータを用いた機械学習による建物の向き・角度の判別2023

Author(s)

Organizer

Data Source

[Presentation] Frequency-Domain Analysis of DoP Information for Urban Area Interpretation Using Fully Polarimetric SAR Data2022

Author(s)

Organizer

Data Source

[Presentation] Averaged Stokes Vector Features Based Man-Made Targets Analysis Using PolSAR Data2021

Author(s)

Organizer

Data Source

[Presentation] Calibration of ground slope effect on Forest Observation using L-band Synthetic Aperture Radar data2021

Author(s)

Organizer

Data Source

[Presentation] Discussion on Building Orientation Estimation Using Polarimetric Synthetic Aperture Radar Data2020

Author(s)

Organizer

Data Source

[Presentation] PolSAR data based high-rise building and low-rise building dominant areas Classification using quaternion neural networks2020

Author(s)

Organizer

Data Source

[Presentation] Automatic-Zooming-Type Window Size Optimization for PolSAR data interpretation2018

Author(s)

Shang Fang 尚方