LiDAR点云与航空影像联合进行建筑物三维重建相比单一数据源的传统方法有突出优势。本项目率先提出结合机载LiDAR点云和多视角航空影像的建筑物结构化模型重建理论与方法，创造性地提出线框与三角网混合的矢量模型构建思想，基于线面特征互约束机制，利用点云精确三维几何信息提取平面特征和影像丰富纹理信息提取直线特征，共同构建带有精细纹理且包含建筑物角点间拓扑关系的结构化矢量模型。重点围绕基于线面特征的三维点云表面重建、基于影像纹理识别的建筑物立面修复、保证纹理映射最优的两步法模型简化、线框与三角网混合的建筑物矢量模型提取等核心问题展开系统深入的理论探索和算法研究，并研发基于机载LiDAR点云与多视角航空影像的建筑物结构化三维重建原型系统，验证相关理论和算法的正确性和有效性。研究成果可为通用化矢量模型重建提供有效的解决方案，并为智能建筑、新型智慧城市、城市三维数据库等应用奠定坚实的理论和技术基础。

3D reconstruction of building models by integration of LiDAR point clouds and aerial images has great advantages against the traditional methods that only use single data source. This proposal puts forward a novel structural 3D building model reconstruction theory and the corresponding realization methods by integration of LiDAR point clouds and multi-view aerial images. Planar feature can be easily extracted from LiDAR point clouds, and linear feature can be effectively extracted from aerial images. A completely new idea of wire frame and TIN hybrid representation of 3D building model is proposed by taking the full advantages of mutual constraint mechanism of the extracted planar and linear features. The topology relationship among building vertices is also explicitly reconstructed. Several key technologies, such as 3D mesh reconstruction of point clouds with linear and planar features, building façade restoration based on image texture recognition, two-steps simplification of building models by maintaining optimum texture mapping, and structural building model reconstruction by hybrid wire frame and TIN representation, will be deeply studied. Prototype software for structural 3D building model reconstruction by integration of LiDAR point clouds and multi-view aerial images will be developed and tested with real datasets to verify the correctness and effectiveness of the proposed theory. Our achievements provide strong technical solutions for universal building vector model reconstruction, and make good foundation on both theory and applications in the fields of intelligent building, smart city, and 3D city database.