A Basic Study on Detection of Debris of Damaged Area Based on Outline Information of Vertical Aerial Photographs

  • Abe Mariko
    徳島大学大学院 先端技術科学教育部 知的力学システム工学専攻
  • Nariyuki Yoshifumi
    徳島大学大学院ソシオテクノサイエンス研究部 エコシステムデザイン部門
  • Minamoto Takashi
    徳島大学大学院 工学研究科 建設工学専攻
  • Hirao Kiyoshi
    徳島大学 ソシオテクノサイエンス研究部 エコシステムデザイン部門

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Other Title
  • 垂直航空写真の輪郭線情報に基づく建物被害エリアの判別に関する基礎的研究
  • スイチョク コウクウ シャシン ノ リンカクセン ジョウホウ ニ モトズク タテモノ ヒガイ エリア ノ ハンベツ ニ カンスル キソテキ ケンキュウ

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Abstract

This paper deals with automated detection method of collapsed wooden house areas based on outline information of aerial photographs taken just after earthquakes. In addition to original outline images, thinning and thickening of those images were made. These three kinds of images were divided into square meshes with proper sizes respectively. Fractional dimension, number of pixels which compose outlines and number of elements divided by outlines were considered as characteristic parameters of outline of each mesh. From analytical results, it was found that debris areas were accurately detected based on the fractional dimension of outline images thickened once.

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