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基于七参数正形变换的数据驱动模型实现了机载LiDAR条带平差,算法借鉴了Robert(2004)的最小二乘表面匹配思想,通过引入高斯-马尔科夫模型改进了原有算法,得到未知参数的最小无偏方差估计。实验采用两组实测数据,分别考察了引入高斯-马尔科夫模型的必要性、算法效率以及迭代收敛性和算法精度。实验表明:(1)剖面检查吻合且精度一致;(2)Terra Match量测匹配精度,理想数据高程匹配误差小于0.05m,数据质量不理想时误差稍大,但均能成功匹配。 更多还原

【Abstract】 Based on Microsoft VS 2008 C ++ platform,the least squares surface matching algorithm for airborne the LiDAR strip adjustment is realized.It refers to and improves Robert’s 3D surface matching algorithm by introducing the Gauss-Markoff model,acquiring the unbiased minimum variance estimation for the transformation parameters between adjacent strips.The real different data sets are used to validate the method.We study the need for using Gauss-Markoff model,efficiency and iterative convergence of ... 更多还原