Crack detection from high-resolution aerial triplet images for safer collapse investigations in high mountain areas

Masafumi Nakagawa, Ryusei Igusa, Nobuhiro Usuki, Masanori Takigawa, Naoki Nishimura, Yoshiaki Katsumata, Tomoaki Eguchi

研究成果: Paper査読

抄録

Collapse investigations in high mountain areas are generally conducted byfield surveys using handheld digital cameras and tape measures. A presurvey is alsoconducted using processing of aerial images for more efficient surveys. However, identifyingcracks from various edges in aerial images is usually a manual operation. We have proposed amethodology to automate crack detection using multiple aerial images and our knowledge ofcracks. Moreover, we evaluated our methodology through an experiment on crack detectionand classification using multiple aerial images.

本文言語English
ページ1269-1276
ページ数8
出版ステータスPublished - 2018 1 1
イベント39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018 - Kuala Lumpur, Malaysia
継続期間: 2018 10 152018 10 19

Conference

Conference39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018
国/地域Malaysia
CityKuala Lumpur
Period18/10/1518/10/19

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 情報システム
  • 地球惑星科学(全般)
  • コンピュータ ネットワークおよび通信

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