基于Arcobjects的约束Delaunay三角网支持下的土地利用图斑综合

关于以约束Delaunay三角网剖分模型为基础的地图综合的研究,已经有了很多成熟的算法理论,但在应用中这些模型算法建立的约束性Delaunay三角网都比较复杂,并且在动态更新上,这些模型在实际应用中存在一定的困难。基于此问题,本文提出了以地类图斑多边形为数据源,利用Arcob jects建立TIN模型,从中获取内部约束性Delaunay三角网并提取骨架线,利用骨架线进行剖分多边形,达到图斑多边形融合的目的,来解决大比例尺到小比例尺数据转换中地类图斑的制图综合问题。

Landuse cell generalization using restricted Delaunay triagulate net based on Arcobjects

There are many mature algorithms about the reseach on map generalization based on restricted Delaunay Triagulate Net dissection already.But,in practice,the Delaunay Triagulate Net construction based on these model algorithms is complex.Moreover,there are certain problems on dynamic updating using these model algorithms.As for this problem,this paper puts forward a resolution: with cell polygon as data source,buiding TIN model in Arcobjects,and getting interior restrictive Delaunay Triagulate Net and framework lines.Then using framework lines to dissect polygons to get the cell polygons merged.The cartographic generalization problem about landuse cell of transformation from large scale to small scale has been solved.