Levenberg-Marquardt算法在空间三维测边网中的应用

发布时间：2018-07-02 13:04

本文选题：三维控制网 + 激光测距　；参考：《测绘工程》2016年03期

【摘要】：高精度三维坐标控制网是进行空间大尺寸精密坐标测量的基础,在对大尺寸机构和大型设备的安装、调试、监测过程中发挥着至关重要的作用。现阶段,激光测距的精度可达微米级,因此,利用激光测距可建立高精度的三维控制网。与边角网中点位精度受测角和测距精度两者的影响不同,三维测边网中点位精度仅受测距误差的影响。为了建立全局的精密三维控制网,文中基于激光测距建立了三维测边网整体平差模型,解算出测站点与定向点坐标,并利用Levenberg-Marquardt(LM)优化算法根据距离前方交会原理对三维网进行优化。经实验验证,优化算法提高了定向点的精度。
[Abstract]:High precision three-dimensional coordinate control network is the foundation of large size precision coordinate measurement in space. It plays a vital role in the installation, debugging and monitoring of large size mechanism and large equipment. At this stage, the precision of laser ranging can reach the micron level. Therefore, high precision three-dimensional control network can be established by laser ranging. The point precision of the network is different from the angle measurement and the distance precision, and the point accuracy in the three-dimension edge measurement network is only affected by the distance error. In order to establish the global precision three-dimensional control network, the overall adjustment model of the 3D edge measurement network is established based on laser range finding, and the coordinates of the station point and the orientation point are calculated and the Levenberg-Marquardt (L) is used. M) the optimization algorithm is based on the principle of distance forward intersection to optimize the three-dimensional network. Experimental results show that the optimization algorithm improves the accuracy of directional points.
【作者单位】：信息工程大学;浙江华东建设工程有限公司;
【分类号】：P225.2

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