以3维表面间共轭点欧氏距离之和最小为理论基础，提出一种泛型3维表面匹配数学模型，并推导其最小二乘平差理论模型，利用该模型进行机载LiDAR点云条带平差。针对真实机载LiDAR点云数据进行条带平差对比实验，结果表明本文所提出的表面匹配模型，不仅能准确估计出相邻重叠3维表面间的正形变换参数，较好地解决机载LiDAR点云条带间配准问题，而且能同时适用于多种同名点对应准则，是一种泛型的配准模型。

A general mathematical model of least squares three-dimensional surface matching is proposed based on minimizing the sum of squares of the Euclidean distances between the overlapped surfaces. The least squares adjustment model of our proposed method is discussed in detail. We explain how these methods can be used for the co-registration of the real airborne laser scanner data. Concluding results of our experiment suggest that our proposed model has a good performance for transformation parameters estimation in three-dimensional surface matching procedure, and it can meet the application of strip adjustment for airborne laser scanner data. Our proposed method, which can be implemented with many conjugate points rules, is a real general mathematical model for least squares three-dimensional surface matching.