Fluvial monitoring and flood response

S. Lo, Jyh-Horng Wu, Lun-Chi Chen, Chien-Hao Tseng, Fang-Pang Lin
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引用次数: 3

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.
河流监测和洪水响应
本文提出了一种基于图像的洪水报警(IFA)框架,该框架包括基于双种子区域的图像分割,用于从图像中提取感兴趣的水域,以及用于识别洪水风险程度的报警分类器。当风险达到预定阈值时,洪水响应消息将报告给主EWS,以提供最终用户决策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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