In order to avoid the misregistration in three- dimensional (3D) space between flight strips caused by the system error and random error in airborne light detection and ranging (LiDAR) and improve the data accuracy, a data- driven“six parameters”strip adjustment method is selected for the realization of airborne LiDAR system strips registration. An improved 3D normal distributions transform (3D- NDT) is used for the registration of strips to obtain the transformation parameters between the strips on the basis of the analysis of the data of LiDAR. A detailed comparison between the popular iterative closest point (ICP) algorithm and the 3D normal distributions transform is presented through specific experiment. The result shows that this approach can realize flight strip registration rapidly with high accuracy and stronger robustness, which is very suitable for practical engineering.