Rapid Extraction of Disaster-Affected Areas Based on Affected Objects Classification System for Disaster Mitigation
- DOI
- 10.2991/cmfe-15.2015.123How to use a DOI?
- Keywords
- remote sensing information extraction; disaster mitigation?affected bbjects? classification system? flood;
- Abstract
Remote sensing images have been a main information source of the pre-disaster monitoring, disaster prediction and rapid assessments of disasters. However, the existing affected objects classification system, which is designed for the post-disaster survey, hardly meets the requirements of applications in disaster mitigation. In this paper, we proposed the construction scheme of affected objects classification system for disaster mitigation, considering of characteristics of data disasters and affected objects. In the framework of this classification scheme, we specified the nomenclature for floods, which is then used in the rapid extraction of the flooded area in Yuyao. And the flooded area is extracted through change detection. Experiments showed that the classification system can be applied in classifying the affected bbjects directly, which is the basis of rapid assessment with remote sensing images.
- 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 - Wen Dong AU - Haiping Yang PY - 2015/07 DA - 2015/07 TI - Rapid Extraction of Disaster-Affected Areas Based on Affected Objects Classification System for Disaster Mitigation BT - Proceedings of the International Conference on Chemical, Material and Food Engineering PB - Atlantis Press SP - 525 EP - 528 SN - 2352-5401 UR - https://doi.org/10.2991/cmfe-15.2015.123 DO - 10.2991/cmfe-15.2015.123 ID - Dong2015/07 ER -