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  1. 防災科研関係論文

An integrated method to extract collapsed buildings from satellite imagery, hazard distribution and fragility curves

https://nied-repo.bosai.go.jp/records/4284
https://nied-repo.bosai.go.jp/records/4284
21ce4c32-f6b5-4db6-92f7-81107a4a775b
Item type researchmap(1)
公開日 2023-03-30
タイトル
言語 en
タイトル An integrated method to extract collapsed buildings from satellite imagery, hazard distribution and fragility curves
著者 Luis Moya

× Luis Moya

en Luis Moya

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Erick Mas

× Erick Mas

en Erick Mas

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Bruno Adriano

× Bruno Adriano

en Bruno Adriano

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Shunichi Koshimura

× Shunichi Koshimura

en Shunichi Koshimura

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Fumio Yamazaki

× Fumio Yamazaki

en Fumio Yamazaki

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Wen Liu

× Wen Liu

en Wen Liu

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抄録
内容記述タイプ Other
内容記述 © 2018 The Author(s) Remote sensing satellite imagery plays an important role in estimating collapsed buildings in the aftermath of a large-scale disaster. However, some previous methodologies are restricted to using specific radar sensors. Others methods, such as machine learning algorithms, require training data, which are extremely difficult to obtain immediately after a disaster. This paper proposes a novel method to extract collapsed buildings based on the integration of satellite imagery, the spatial distribution of a demand parameter, fragility functions, and a geospatial building inventory. The proposed method is applicable regardless of the type of radar sensor and does not require any training data. The method was applied to extract buildings that collapsed during the 2011 Great East Japan Tsunami. The results showed that the proposed method is effective and consistent with the surveyed building damage data.
言語 en
書誌情報 en : International Journal of Disaster Risk Reduction

巻 31, p. 1374-1384
ISSN
収録物識別子タイプ ISSN
収録物識別子 2212-4209
DOI
関連識別子 10.1016/j.ijdrr.2018.03.034
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