机载LiDAR数据的LZD航带平差

论文摘要

系统误差是影响机载LiDAR系统精度的主要因素,因而消除或削弱系统误差影响、提高数据精度具有重要理论意义和工程实用价值。提出基于最小高程差(LZD)的机载LiDAR航带平差方法,并通过引入高斯-马尔柯夫模型提高了平差精度。实验部分考察了引入高斯-马尔柯夫模型的必要性及算法精度。实验结果表明:引入高斯-马尔柯夫模型可有效地提高算法精度;使用LZD进行机载LiDAR航带平差获取的结果均可以满足工程生产的精度需求;与商业软件TerraMatch相比,LZD的精度和TerraMatch的精度相当。更多还原
Systematic errors are the main factors affecting the accuracy of airborne LiDAR system.To attain high-precision airborne LiDAR data,it is of great theoretic and practical value to research the key techniques and methods to eliminate these systematic errors.In our paper we propose a new method for airborne LiDAR strip adjustment based on least Z-difference(LZD) algorithm and then introduce the Gauss-Markov model to improve the adjustment accuracy.Experimental results show that after reasonable pa...

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