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Shirai Hikaru  白井 光

ORCIDConnect your ORCID iD *help
Researcher Number 00894635
Other IDs
Affiliation (Current) 2025: 秋田大学, 情報データ科学部, 講師
Affiliation (based on the past Project Information) *help 2021 – 2022: 秋田大学, 理工学研究科, 助教
Review Section/Research Field
Principal Investigator
Basic Section 22060:Environmental systems for civil engineering-related
Keywords
Principal Investigator
YOLOv3 / FCM / Fuzzy C-means / CNN / スズラン / UAV / リモートセンシング
  • Research Projects

    (1 results)
  • Research Products

    (7 results)
  •  Development of method for estimating the population of the endangered Convallaria Keiskei using UAVs and machine learningPrincipal Investigator

    • Principal Investigator
      Shirai Hikaru
    • Project Period (FY)
      2021 – 2022
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 22060:Environmental systems for civil engineering-related
    • Research Institution
      Akita University

All 2023 2022 2021

All Journal Article Presentation

  • [Journal Article] Detection method for Convallaria keiskei colonies in Hokkaido, Japan, by combining CNN and FCM using UAV-based remote sensing data2022

    • Author(s)
      Shirai Hikaru、Kageyama Yoichi、Nagamoto Daisuke、Kanamori Yuki、Tokunaga Naoki、Kojima Teruo、Akisawa Masae
    • Journal Title

      Ecological Informatics

      Volume: 69 Pages: 101649-101649

    • DOI

      10.1016/j.ecoinf.2022.101649

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K14273
  • [Presentation] UAVデータを用いた円形度と色彩情報に着目したCNNによるスズラン個体数推定法に関する検討2023

    • Author(s)
      齋藤 迅斗, 白井 光, 景山 陽一, 長本 大介, 野口 智史, 竹門 玄地, 西村 唯, 小嶋 照男, 秋沢 成江
    • Organizer
      令和4年度日本知能情報ファジィ学会東北支部研究会
    • Data Source
      KAKENHI-PROJECT-21K14273
  • [Presentation] UAVデータを用いたCNNによるスズランの個体数推定法の開発2022

    • Author(s)
      西川 錬, 白井 光, 景山 陽一, 長本 大介, 野口 智史, 竹門 玄地, 西村 唯, 小嶋 照男, 秋沢 成江
    • Organizer
      令和3年度日本知能情報ファジィ学会東北支部研究会
    • Data Source
      KAKENHI-PROJECT-21K14273
  • [Presentation] UAV画像を対象としたCNNとFCMによるスズランの花領域検出法の開発2022

    • Author(s)
      白井 光, 景山 陽一, 長本 大介, 野口 智史, 竹門 玄地, 西村 唯, 小嶋 照男, 秋沢 成江
    • Organizer
      ELR2022つくば
    • Data Source
      KAKENHI-PROJECT-21K14273
  • [Presentation] Detection of Convallaria Keiskei Flower by Combining Convolutional Neural Network and Fuzzy C-means Using Unmanned Aerial Vehicle-based Data2022

    • Author(s)
      H. Shirai, Y. Kageyama, D. Nagamoto, M. Noguchi, A. Narita, Y. Nishimura, T. Kojima, M. Akisawa
    • Organizer
      The 9th IIAE International Conference on Intelligent Systems and Image Processing 2022 (ICISIP2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14273
  • [Presentation] Detection method of Convallaria keiskei using CNN and fuzzy c-means2021

    • Author(s)
      H. Shirai, Y. Kageyama, D. Nagamoto, Y. Kanamori, N. Tokunaga, T. Kojima, M. Akisawa
    • Organizer
      The 42nd Asian Conference on Remote Sensing (ACRS 2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14273
  • [Presentation] Detection of Convallaria Keiskei Flowers using a Combination of Machine Learning and Fuzzy c-Means2021

    • Author(s)
      H. Shirai, Y. Kageyama, D. Nagamoto, Y. Kanamori, N. Tokunaga, T. Kojima, M. Akisawa
    • Organizer
      The Ninth International Conference on Materials Engineering for Resources(ICMR2021 AKITA)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14273

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