机载LiDAR点云航带平差方法研究

Airborne LiDAR Point Cloud Strip Adjustment Method

  • 摘要: 以航带平差作为系统误差消除的关键技术,提出了基于无控制三维表面匹配的方法,并用最小高程差(LZD)和最小法向距离(LND)两种算法加以实现。实验表明,LND和LZD算法的平差结果均可满足工程精度的需求;LZD较LND算法的整体计算效率偏低,但其精度较高;与商业软件TMatch的结果相比,LZD的精度和其相当,且两种方式在TMatch软件平差失败时也能成功地完成航带平差任务。

     

    Abstract: Considering strip adjustment as key technology to eliminate systematic errors,we propose a method of 3D surface matching without control points.Using the least Z-difference(LZD) and least normal distance(LND)matching algorithm to realize.The experimental results show that the accuracy of LND and LZD algorithm can both meet the requirements of project accuracy;LZD's total efficiency is lower than LND's,but its accuracy is higher.Compared to commercial software TMatch,LZD and TMatch accuracy are at the seme level,and our algorithm can successfully complete the task of strip adjustment when TMatch software failure.

     

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