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High Performance Polarimetric Synthetic Aperture Radar Data Interpretation

Research Project

Project/Area Number 16H06799
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeSingle-year Grants
Research Field Measurement engineering
Research InstitutionThe University of Electro-Communications

Principal Investigator

Shang Fang  電気通信大学, 大学院情報理工学研究科, 助教 (90779050)

Project Period (FY) 2016-08-26 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords合成開口レーダ / データ解析 / 計測工学
Outline of Final Research Achievements

Polarimetric Synthetic Aperture Radar (PolSAR) is one of microwave imaging sensors with high spatial resolution. In this research, data interpreation algorithm for PolSAR is improved. The experiments are implemented with ALOS data provided by Japan Aerospace Exploration Agency (JAXA) for many areas such as Tokyo habor. The results have shown that the interpretation performance is much improved, especially for oriented man-made targets, randomly distributed man-made targets, and isolated man-made targets. Such targets are difficult to be detected in other algorithms.

Report

(3 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Annual Research Report
  • Research Products

    (9 results)

All 2018 2017 Other

All Int'l Joint Research (1 results) Journal Article (2 results) (of which Peer Reviewed: 2 results) Presentation (5 results) (of which Int'l Joint Research: 4 results,  Invited: 1 results) Remarks (1 results)

  • [Int'l Joint Research] Xiamen University(中国)

    • Related Report
      2017 Annual Research Report
  • [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

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [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

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed
  • [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
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [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
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [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
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [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
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [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
    • Related Report
      2017 Annual Research Report
    • Invited
  • [Remarks] 研究室webページ

    • Related Report
      2016 Annual Research Report

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Published: 2016-09-02   Modified: 2019-03-29  

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