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作 者:仲跻文 ZHONG Jiwen(Hydrology&Water Resources Survey Bureau for Yangtze Backward River,Changjiang Water Resources Commission,Nanjing 210011,China)
机构地区:[1]长江水利委员会水文局长江下游水文水资源勘测局,南京210011
出 处:《计算机测量与控制》2022年第4期197-201,共5页Computer Measurement &Control
摘 要:在现有的水文地质测绘方法研究工作中,缺乏三维(3D)定位技术进行优化和改进;为此,文章首先提出一种基于雷达卫星和大数据平台的信息化水文地质测绘系统,其引入了超连续谱激光高光谱(SCLaHS)雷达系统在中高空通过激光扫描水文地质进行成像,其3D定位算法由全球导航卫星系统(GNSS)阴影匹配与3D地图辅助测距的集成,分别单独的计算3D地图测距和阴影匹配位置解,然后使用方向相关加权进行组合;实验结果表明,该算法的定位精度提高了许多,使用基于协方差的加权获得的平均精度值提高10%,保证了测绘点覆盖率更加有效。In existing research on hydrogeological surveying and mapping methods,there is lack of three-dimensional(3D)positioning technology foroptimizationand improvement.Therefore,an information hydrogeological mapping system based on radar satellite and big data platform is first proposed.The supercontinuum laser hyperspectral(SCLaHS)radar system is introduced to the laser scanningimage hydrogeology at medium and high altitude,and the3D positioning algorithm is determined by the integration of shadow matching for global navigation satellite system(GNSS)and 3D map aided ranging,the location solutions of 3D map ranging and shadow matching are separately calculated,and the algorithmis combined with the direction correlation weighting.The experimental results show that the accuracy of positioningalgorithm is improved a lot,and the average accuracybasedon covariance weighting is improved by 10%,which ensures that the coverage of mapping points is more effective.
关 键 词:水文地质模型 3D定位算法 超连续谱激光高光谱 阴影匹配 协方差加权矩阵
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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