文章摘要
韩召华.遥感信息中地震灾情危险等级在线应急评定方法研究[J].地震工程学报,2020,42(2):552-557,578. HAN Zhaohua.An On-line Emergency Assessment Method for SeismicRisk Level of Remote Sensing Information[J].China Earthquake Engineering Journal,2020,42(2):552-557,578.
遥感信息中地震灾情危险等级在线应急评定方法研究
An On-line Emergency Assessment Method for SeismicRisk Level of Remote Sensing Information
投稿时间:2019-07-08  
DOI:10.3969/j.issn.1000-0844.2020.02.552
中文关键词: 危险性评价;遥感图像;数据;地震灾害;灾害等级评估
英文关键词: hazard assessment;remote sensing image;data;earthquake disaster;disaster grade assessment
基金项目:国家青年科学基金项目(41201327)
作者单位
韩召华 河北轨道运输职业技术学院, 河北 石家庄 050051
河北师范大学, 河北 石家庄 050024 
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中文摘要:
      利用GIS技术对地震危险等级进行评定时,由于其地形控制点选取合理性较差,导致其所采集遥感图像清晰度较低,地震等级评定不够精准。针对此问题提出一种新的地震灾情遥感信息危险等级在线应急评定方法。利用图像几何校正法,对遥感图像进行分幅裁剪,基于裁剪结果选取地面控制点,提取有价值遥感数据信息,建立遥感解译评估指标。将推导出的综合震灾指数引入到指标中,将各个评价单元的信息进行等级排序和划分,完成地震灾情遥感信息危险等级在线应急评定。仿真实验中,对所提方法和GIS地震危险等级评定方法进行有效性对比测试。实验结果表明,地震灾情遥感信息危险等级在线应急评定方法提升了灾情地形控制点选取的合理性,使获取的遥感图像更清晰,灾情等级评定结果更精准。
英文摘要:
      When GIS technology is used to evaluate the seismic hazard level, because of the poor rationality of its terrain control points, the accuracy of the collected remote sensing images is low, and the seismic rating is not sufficiently exact. A new electronic emergency assessment method for remote sensing information hazard levels of earthquake disasters is proposed in this paper. The method of geometric image correction is used to segment the image of the remote sensing, and the surface control points are chosen based on the cutting result. The useful information on remote sensing is extracted, and evaluation indexes for remote sensing interpretation are established. The information of each evaluation unit is ranked and divided, then the online emergency assessment of remote sensing information hazard level is completed. The effectiveness of the proposed method and the GIS seismic hazard rating method were compared in a simulation experiment. The experimental results show that the proposed method will increase the selection rationality of control points for the disaster terrain, make the acquired remote sensing images clearer and the results of the disaster rating more precise.
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