Title :
Fluvial monitoring and flood response
Author :
Shi-Wei Lo ; Jyh-Horng Wu ; Lun-Chi Chen ; Chien-Hao Tseng ; Fang-Pang Lin
Author_Institution :
Nat. Center for High-Performance Comput., Hsinchu, Taiwan
Abstract :
This paper proposes a framework for an Image-based Flood Alarm (IFA) that includes bi-seeded region-based image segmentation for the extraction of a water region of interest from an image, as well as an alarm classifier for identifying the degree of flood risk. When the risk reaches the predetermined threshold, a flood response message reports to the main EWS for end-user decision support.
Keywords :
alarm systems; floods; geophysical image processing; image segmentation; IFA; alarm classifier; bi-seeded region-based image segmentation; end-user decision support; flood response message reports; flood risk degree identification; fluvial monitoring; image-based flood alarm; main EWS; risk predetermined threshold; water region extraction; Cameras; Floods; Image segmentation; Monitoring; Real-time systems; Remote sensing; Streaming media; early warning system; first response; flood; image segmentation;
Conference_Titel :
Sensors Applications Symposium (SAS), 2014 IEEE
Conference_Location :
Queenstown
Print_ISBN :
978-1-4799-2180-5
DOI :
10.1109/SAS.2014.6798979
