期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII Part 4
出版社：Copernicus Publications
摘要：The cartographic generalization prepares and arranges the contents of a map for a given scale and application in order to improve itscomprehensibility. In recent years, the data sets for map-like presentations in 3D has become widespread available. Concerning urbanareas, the most important objects therein are buildings. Whereas quiet a number of generalization algorithms for 3D data have been proposed,most are concerned with the geometric simplification of buildings models under building-specific constraints. However, the simplificationof single objects can only reach a certain degree of abstraction. To obtain further levels, adjacent buildings or even blocks ofbuildings have to be regarded, e.g. by aggregation or typification.In previous work, a simplification approach for 3D building models by means of cell decomposition has been proposed. A simplifiedversion of a polyhedral 3D building model is constructed by intersecting a minimum number of planes that approximate well the initialshape. In this process, the space around a building is decomposed into building and non-building cells. To determine which cells arebuilding cells, an overlap test with the original building is conducted in raster space. As the cell decomposition features already the necessarycells for an aggregation of buildings, which are, however, discarded due to their low overlap, it is suggested to use morphologicaloperations to close the space between buildings in the raster model and therefore improve the overlap value of the cells. It is shown thatthe morphology of raster data can help the algorithm to aggregate polyhedral building models
