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 the algorithm

the matching accuracy.The experimental results demonstrate that after correction the point clouds show much better alignment and the vertical matching error is less than 0.05 m for idea data

while poor quality data the error is slightly larger.