基于航空影像的屋顶半自动重建研究

以航空影像为数据源,设计了一套完整的屋顶快速半自动建模方案。整个建模流程可分为数据获取、数据预处理、几何建模、纹理映射4个阶段。在数据获取阶段,定义了适合于后续建模的两种房屋的屋顶编码方式。在几何建模阶段,利用带约束条件的Delaunay三角构网来构建复杂屋顶几何结构。在纹理映射阶段,提出了一种纹理优化选择算法,选择最佳纹理进行贴图。实验结果表明,此半自动建模方法重建屋顶模型正确率高,纹理贴图精度满足要求。

Research on Semi_automatic Reconstruction of Roof Based on Aerial Image

A fast and semi-automatic method of roof reconstruction using the aerial image is given in this paper. The entire modeling process can be divided into the following steps：data acquisition,data preprocessing,geometric modeling and texture mapping. Two different roof encoding are defined in the data acquisition stage for the post-modeling. The constrained Delaunay triangulation is used to build complex roof model during the geometric modeling. A texture optimization algorithm is introduced to select the best texture for texture mapping. The experimental results demonstrate that the semi-automatic method proposed in this paper has high roof reconstruction accuracy and texture mapping also can meet the precision requirements.