一种基于降维技术的街区综合方法

A Generalization Method of Street Block Based on Dimension-reducing Technique

大比例尺城市建筑物综合一直是自动综合研究的重点。利用大比例尺城市建筑物和街道之间存在几何空间互补的特点,提出依据建筑物骨架线和街道骨架线对街区进行综合的新方法。定义骨架线提取方法,分析建筑物骨架线和街道骨架线之间的特性,在此基础上,提出基于降维技术的建筑物合并、化简、位移等综合方法。进一步,充分概括了本方法在自动综合技术实现上的优越性,并通过实验证明其有效性。

The city-building generalization is important in automated generalization of large-scale map. The dynamic geometry spatial relationship among larger scale streets and buildings is pointed out, which is that buildings influence streets each other, and they fill the whole area. Then a new method of block generalization based on street skeletonline and building skeleton-line is put forward. The process of getting skeleton-lines is defined, and the characters among building skeleton-line and street skeleton-line are analyzed. They are sensitive to the change of building contour. Based on these, several algorithms such as mergence, simplification and displacement of building are put forward. For the more, there is more advance in technique reality of this automatic generalization method, which means that it solves the ＂when＂ and ＂where＂ technical problems of street block generalization based on its advantage of spatial detection. Thus it makes a great step in intelligent generalization. Experiment proves the excellence of this method.