Proceedings of the 2015 Conference on Informatization in Education, Management and Business

Building Damage Level According to Distance Image Contrast.

Authors
Chen Liwei
Corresponding Author
Chen Liwei
Available Online September 2015.
DOI
10.2991/iemb-15.2015.6How to use a DOI?
Keywords
emergency rescue, demand estimation, Hough transformation, maximum posterior probability
Abstract

Estimation method of building damage level was introduced for the accurate and effective estimation of damage extent and relief goods demand according to long-distance image contrast. In order to obtain completion degree of building edge extracted from long-distance images before and after disaster, the concentration ratio was analyzed with Hough transformation. Based on the maximum posterior probability, estimation method of affected population was designed to accurately estimate victim population, which can be directly reflected by fugitive population. Moreover, on basis of escape route and fugitive population, demand assignment algorithm by backward calculation was designed to improve rescue efficiency.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference on Informatization in Education, Management and Business
Series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2015
ISBN
10.2991/iemb-15.2015.6
ISSN
2352-5398
DOI
10.2991/iemb-15.2015.6How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chen Liwei
PY  - 2015/09
DA  - 2015/09
TI  - Building Damage Level According to Distance Image Contrast.
BT  - Proceedings of the 2015 Conference on Informatization in Education, Management and Business
PB  - Atlantis Press
SP  - 27
EP  - 34
SN  - 2352-5398
UR  - https://doi.org/10.2991/iemb-15.2015.6
DO  - 10.2991/iemb-15.2015.6
ID  - Liwei2015/09
ER  -