Proceedings of the AASRI International Conference on Industrial Electronics and Applications (2015)

Automated Image Identification Method for Flood Disaster Monitoring In Riverine Environments: a Case Study in Taiwan

Authors
Wu Jyh-Horng, Tseng Chien-Hao, Chen Lun-Chi, Lo Shi-Wei, Lin Fang-Pang
Corresponding Author
Wu Jyh-Horng
Available Online September 2015.
DOI
10.2991/iea-15.2015.65How to use a DOI?
Keywords
flood alarm system; flood monitoring; hazard mitigation; image identification.
Abstract

As the globe undergoes extreme climate changes, disaster events and their disaster scale continue to increase; therefore, it has become imperative to devise disaster prevention measures. Traditional flood monitoring devices, while operating in harsh environments, are often influenced by changes in weather conditions such light, rain, and fog. Consequently, recorded images are often blurred or damaged, which increases the possibility of errors in judgment or delays in the hazard mitigation process. In this study, an automated identification method for flood monitoring based on real-time video images is proposed. The method can be used by the Water Conservancy Agency of the Ministry of Economic Affairs automated for automated identification of flooded areas and for automated determination of the water levels of the main rivers from image data. This paper presents results to show that the capability to detect temporal changes in image sequences is crucial for an automated image-based flood alarm system used in disaster-monitoring applications.

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 AASRI International Conference on Industrial Electronics and Applications (2015)
Series
Advances in Engineering Research
Publication Date
September 2015
ISBN
10.2991/iea-15.2015.65
ISSN
2352-5401
DOI
10.2991/iea-15.2015.65How 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  - Wu Jyh-Horng
AU  - Tseng Chien-Hao
AU  - Chen Lun-Chi
AU  - Lo Shi-Wei
AU  - Lin Fang-Pang
PY  - 2015/09
DA  - 2015/09
TI  - Automated Image Identification Method for Flood Disaster Monitoring In Riverine Environments: a Case Study in Taiwan
BT  - Proceedings of the AASRI International Conference on Industrial Electronics and Applications (2015)
PB  - Atlantis Press
SP  - 268
EP  - 271
SN  - 2352-5401
UR  - https://doi.org/10.2991/iea-15.2015.65
DO  - 10.2991/iea-15.2015.65
ID  - Jyh-Horng2015/09
ER  -