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WATANABE Shuntaro  渡部 俊太郎

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渡部 俊太郎  ワタナベ シュンタロウ

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Researcher Number 00782335
Other IDs
Affiliation (Current) 2020: 鹿児島大学, 理工学域理学系, 助教
Affiliation (based on the past Project Information) *help 2018: 京都大学, フィールド科学教育研究センター, 研究員
Review Section/Research Field
Except Principal Investigator
Basic Section 63010:Environmental dynamic analysis-related
Keywords
Except Principal Investigator
深層学習 / 自動識別 / リモートセンシング / コンピュータビジョン / 外来種
  • Research Projects

    (1 results)
  • Research Products

    (3 results)
  • Co-Researchers

    (3 People)
  •  Classifying vegetation using deep learning: clarification of characteristics of vegetationOngoing

    • Principal Investigator
      伊勢 武史
    • Project Period (FY)
      2018 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 63010:Environmental dynamic analysis-related
    • Research Institution
      Kyoto University

All 2020 2019

All Journal Article Presentation

  • [Journal Article] Applying deep learning in ecology: identifying vegetation and plant species2020

    • Author(s)
      渡部俊太郎、大西信徳、皆川まり、伊勢武史
    • Journal Title

      JJCE

      Volume: 1822 Issue: 1 Pages: 1-14

    • DOI

      10.18960/hozen.1822

    • ISSN
      1342-4327, 2424-1431
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19J22591, KAKENHI-PROJECT-18H03357
  • [Presentation] 畳み込みニューラルネットワークによる衛星写真中の植生識別2019

    • Author(s)
      渡部俊太郎、伊勢武史
    • Organizer
      種生物学会シンポジウム2019
    • Data Source
      KAKENHI-PROJECT-18H03357
  • [Presentation] 畳み込みニューラルネットワークによる航空写真中の植生識別とその応用2019

    • Author(s)
      渡部 俊太郎、角 和暁、伊勢 武史
    • Organizer
      日本地球惑星科学連合2019年大会
    • Data Source
      KAKENHI-PROJECT-18H03357
  • 1.  伊勢 武史 (00518318)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 2.  佐藤 永 (50392965)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  大西 信徳
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 2 results

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