ドローンとディープラーニングに基づく屋根葺き材の自動検出

DOI

書誌事項

タイトル別名
  • Auto Detection of Roofing Material by Deep Learning Using UAV Photo

抄録

<p>To reduce delays in roof repair work after natural disasters caused by typhoons or earthquakes, automatic classification of roofing materials by remote sensing is one of the key technologies for estimating roof repair demand. This paper investigates a technology for classifying roofing materials using ortho image obtained based on UAV photos. An initial investigation shows that the detection accuracy varies with the resolution of the images to be trained. Therefore, two trained models with different resolutions are used under the same conditions to validate the accuracy. As a result, it is found that detection accuracy is lower when automatic detection is performed using images with a lower resolution than that used in training.</p>

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390579366904940416
  • DOI
    10.60316/jcossar.10.0_167
  • ISSN
    27590909
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
  • 抄録ライセンスフラグ
    使用可

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