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断层高分辨率遥感在线解译及产状测量平台 被引量:2

Platform of online interpretation and attitude measurement for faults using high resolution remote sensing image
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摘要 为解决高分辨率遥感应用中的断层在线解译及产状测量问题,利用主流网络地图服务提供的高分辨率卫星遥感影像及应用程序接口,开发断层在线解译及产状测量平台。通过该平台在线分析地质构造、解译断层,提取断裂地理信息;数据以可扩展标识语言(extensible markup language,XML)格式存储,可转换为主流GIS软件数据格式;对已有断裂的GIS数据通过格式转换进行查看、校准;使用Google Earth Plug-in嵌入三维地图服务,结合数字高程模型(digital elevation model,DEM)数据同步采用多点法解算断层产状要素,以提高精度。结果表明:基于网络地图服务的断层在线解译和产状测量方法,发挥了高分辨率遥感影像在断裂构造解译中的优势,同时突破了遥感影像和DEM数据源的限制,可快速、准确地提取断裂构造地理信息和产状要素;平台矢量化数据具有可共享性,程序具有可移植性。 To solve the problems of online interpretation and attitude measurement for faults in the application of high resolution remote sensing,the authors developed a platform of online interpretation and attitude measurement for faults by using high resolution remote sensing image and application programmers interface provided by Web Map Service. The platform allows users to analyze the geological structure as well as identify and vectorize the fault.On this platform,vector data are saved as extensible markup language( XML) and can be transformed into typical GIS data formats,and existing GIS data are allowed to be viewed and calibrated after format conversion. Imbedding of Google Earth,through Google Earth Plug- in,enables users to calculate the fault attitude using the DEM on this platform. Multi- point method is adopted to improve calculation accuracy. The results show that the method of interpretation and attitude measurement for faults based on Web Map Service,which takes advantage of fault interpretation using high resolution remote sensing image and breaks through the data source limitation of remote sensing image and DEM data,can accurately extracts geographic information and attitude of geological structure,and the platform possesses data sharing and application portability.
出处 《国土资源遥感》 CSCD 北大核心 2016年第1期190-196,共7页 Remote Sensing for Land & Resources
基金 中国地震局地震研究所所长基金项目"高分辨率卫星遥感道路震害损毁快速检测方法研究"(编号:IS201256107)资助
关键词 高分辨率遥感 断裂 矢量化 断层产状测量 Google Earth PLUG-IN high resolution remote sensing fault vectorization fault attitude measurement Google Earth Plug-in
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