학술논문

Fluvial monitoring and flood response
Document Type
Conference
Source
2014 IEEE Sensors Applications Symposium (SAS) Sensors Applications Symposium (SAS), 2014 IEEE. :378-381 Feb, 2014
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Floods
Image segmentation
Monitoring
Streaming media
Cameras
Remote sensing
Real-time systems
flood
first response
early warning system
image segmentation
Language
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.