Abstract

In the event of a massive earthquake, it is difficult to assess the situation in affected areas because access to these areas is usually blocked off. Tsunamis, in particular, create a large amount of debris and block many access paths. It is necessary to estimate the amount of disaster debris as early as possible in order to begin restoration in affected areas. This data helps to determine the required amount of temporary storage and arrange proper transportation. We propose a system that detects collapsed buildings after a disaster by using three aerial photographs. We verify the accuracy of the proposed method and discuss how detecting collapsed buildings aids in estimating total disaster debris.

Details

Title
Detecting collapsed buildings from image data for estimation of disaster debris
Author
Yoshinari, N 1 ; Yamamoto, M 1 ; Tonegawa, R 1 ; Oyanagi, Y 1 ; Ohuchi, A 1 

 Hokkaido University, Sapporo, Japan; Sumitomo Electric Industries, Ltd, Osaka, Japan; The Public Interest Incorporated Foundation for International Peace, Tokyo, Japan Sendai Environmental Development, Inc., Sendai, Japan 
Publication year
2017
Publication date
Apr 2017
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2560078121
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.