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Aggregation of 3D Buildings Using a Hybrid Data Approach

机译：使用混合数据方法聚合3D建筑物

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With the increasing availability of large-area 3D city models, there is also a rising need for cartographic generalization algorithms to prepare this data so as to improve both the performance and the perceivability of their visualizations, especially in a mobile-mapping context. Most research has focused on the geometric simplification of single 3D buildings, which can only reach a certain degree of abstraction until building-specific geometric constraints are violated. To obtain further levels, an aggregation of building groups is necessary. The previously published building generalization approach based on cell decomposition is therefore extended to use morphological operations on a raster representation of the initially vectorial data. By repeatedly applying dilation and erosion, the space between buildings closes, which boosts the importance of the already available building blocks in these areas so that they are now included in the generalized model. Even though the results are encouraging from a technical point of view, it leads to a fundamental discussion of how the roofs of aggregated 3D buildings should appear.
机译：随着大面积3D城市模型可用性的提高，尤其是在移动映射环境中，也越来越需要制图一般化算法来准备此数据，以改善其可视化的性能和可感知性。大多数研究都集中在单个3D建筑物的几何简化上，只有在违反特定于建筑物的几何约束之前，它才能达到一定程度的抽象。为了获得更高的级别，必须对建筑组进行汇总。因此，先前发布的基于单元分解的建筑归纳方法被扩展为对初始矢量数据的栅格表示使用形态运算。通过反复应用膨胀和侵蚀，建筑物之间的空间将关闭，这提高了这些区域中已经可用的构建基块的重要性，因此现在将其包含在通用模型中。即使从技术的角度来看，结果令人鼓舞，但它还是引发了关于聚合3D建筑物的屋顶应如何出现的基本讨论。

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