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Signal analysis on synthetic aperture radar for velocity vector measurement and applicability evaluation to ocean current measurement

Research Project

Project/Area Number 20K14961
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 24020:Marine engineering-related
Research InstitutionTokyo University of Marine Science and Technology (2021-2022)
The University of Tokyo (2020)

Principal Investigator

Yoshida Takero  東京海洋大学, 学術研究院, 准教授 (30771505)

Project Period (FY) 2020-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2022: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywords合成開口レーダ / 海洋 / 船舶 / 河川 / 速度ベクトル / 海域 / 水域 / 信号処理 / 海洋観測 / 海流
Outline of Research at the Start

合成開口レーダ(SAR)による速度ベクトル計測は、海洋分野において海流計測に応用が期待されている。これまでSARを用いた移動体の速度計測は、2台のレーダを並べて計測し、2台の中央から計測対象を見た視線方向の1方向成分しか計測できなかった。そこで、マルチルックという信号処理を活用することで2方向速度成分を求める新たな計測理論が申請者らにより示された。2方向の速度成分から速度ベクトル計測が可能となる。この手法を海域において適用可能か検証するために、本研究では数値シミュレーション及びSAR画像解析を行う。そして、速度ベクトルを推定するためのレーダ信号解析の特性把握と、海流計測への適用性を評価する。

Outline of Final Research Achievements

In the observation of velocity vectors of moving objects using synthetic aperture radar, a method called multi-look processing was applied to estimate two directional velocity components. In this study, numerical simulation and image analysis of synthetic aperture radar images were used to verify the applicability of the method for velocity vector estimation in actual marine and aquatic environments. Specifically, the method was evaluated for surface current in rivers and coastal areas. In addition, a method for estimating the velocity vector of cruising ships using synthetic aperture radar images in Spotlight mode was verified, and detection of moving ships was also studied as a preprocessing.

Academic Significance and Societal Importance of the Research Achievements

合成開口レーダによる計測方法の新たな提案を行い、その手法の評価や制限などを検証した。船舶についての移動情報を取得することは、船舶自動識別装置を搭載していない船の情報を得ることにつながる。また、海域や水域において流れの計測に対しては、海域や水域におけるデータを取得する際の手法として、適用性に制約はあるものの今後発展する可能性があるといえる。

Report

(4 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Research-status Report
  • 2020 Research-status Report
  • Research Products

    (7 results)

All 2022 2021 Other

All Int'l Joint Research (1 results) Journal Article (3 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 3 results,  Open Access: 3 results) Presentation (3 results) (of which Int'l Joint Research: 3 results,  Invited: 1 results)

  • [Int'l Joint Research] KIOST(韓国)

    • Related Report
      2020 Research-status Report
  • [Journal Article] Detection of Ships Cruising in the Azimuth Direction Using Spotlight SAR Images with a Deep Learning Method2022

    • Author(s)
      Takero Yoshida、Kazuo Ouchi
    • Journal Title

      Remote Sensing

      Volume: 14 Issue: 19 Pages: 4691-4691

    • DOI

      10.3390/rs14194691

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times2021

    • Author(s)
      Yoshida Takero、Ouchi Kazuo
    • Journal Title

      IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

      Volume: 14 Pages: 11622-11629

    • DOI

      10.1109/jstars.2021.3127214

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Application of MA-ATI SAR for Estimating the Direction of Moving Water Surface Currents in Pi-SAR2 Images2021

    • Author(s)
      Takero Yoshida, Kazuo Ouchi, Chan-Su Yang
    • Journal Title

      IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

      Volume: 14 Pages: 2724-2730

    • DOI

      10.1109/jstars.2021.3060008

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Detecting azimuth moving ships using extended image features in spotlight SAR data by deep learning2022

    • Author(s)
      Takero Yoshida、Kazuo Ouchi
    • Organizer
      International Conference on Space, Aeronautical and Navigation Electronics 2022 (ICSANE 2022)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Detecting moving ships in ALOS-2 spotlight SAR images by deep learning model2021

    • Author(s)
      Takero Yoshida
    • Organizer
      International Conference on Space, Aeronautical and Navigation Electronics 2021 (ICSANE 2021)
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Estimating Azimuth Displacement of Moving Ships by Sub-Look Image Analysis of ALOS-2 Spotlight Long Inter-Look Time Difference2021

    • Author(s)
      Takero Yoshida, Kazuo Ouchi
    • Organizer
      Radar2021
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research / Invited

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Published: 2020-04-28   Modified: 2024-01-30  

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