针对机载LiDAR和倾斜摄影技术各自的优势与局限性，采用一种基于公共几何特征（同名线、面）约束的方法，实现2种点云数据的融合，以重构实景三维模型，并结合二维和三维模型进行地形图测绘。实验结果表明，采用本方法生产的地形图在平面精度和高程精度上均满足大比例尺地形图测量的要求。与传统倾斜摄影测量技术相比，融合点云技术结合LiDAR数据高程精度优势实现了高程精度的显著提升。此外，相较于传统人工测绘，融合点云技术凭借其高效、多元的数据采集手段，为机载LiDAR与倾斜摄影测量技术在实际生产应用中提供了新的参考。

In response to the advantages and limitations of airborne LiDAR and oblique photogrammetry technologies, we introduced a method based on the constraints of common geometric features(homonymous lines and surfaces) to achieve the fusion of two types of point cloud data,thereby reconstructing the 3D model of real scene. Moreover, we conducted topographic mapping by combining 2D and 3D models. Experimental results indicate that the topographic maps produced by this method meet the requirements for large-scale topographic surveying in terms of both planimetric and elevation accuracy. Compared to traditional oblique photogrammetry technologies, the integrated point cloud technology, by taking advantage of the elevation accuracy of LiDAR data, has achieved a significant improvement in elevation accuracy. Furthermore, compared with traditional manual surveying and mapping, the integrated point cloud technology, relying on its efficient and diverse data acquisition methods, has markedly improved the efficiency of digital line graph(DLG) production, thus providing a new reference for the practical application of airborne LiDAR and oblique photogrammetry technologies.