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

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月 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月 15 → 2018 10月 19

Conference

Conference	39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018
国/地域	Malaysia
City	Kuala Lumpur
Period	18/10/15 → 18/10/19

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

他のファイルとリンク

引用スタイル

Nakagawa, M, Igusa, R, Usuki, N, Takigawa, M, Nishimura, N, Katsumata, Y & Eguchi, T 2018, 'Crack detection from high-resolution aerial triplet images for safer collapse investigations in high mountain areas', Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia, 18/10/15 - 18/10/19 pp. 1269-1276.

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AU - Nakagawa, Masafumi

AU - Igusa, Ryusei

AU - Usuki, Nobuhiro

AU - Takigawa, Masanori

AU - Nishimura, Naoki

AU - Katsumata, Yoshiaki

AU - Eguchi, Tomoaki

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N2 - 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.

AB - 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.

KW - Crack classification

KW - Edge detection

KW - Point cloud

KW - Triplet image matching

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ER -

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

抄録

Conference

ASJC Scopus subject areas

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