第三次国土调查的图斑自动综合方法

Generalization method for land polygons of the third national land survey

从第三次国土调查数据库快速缩编派生出多尺度数据库,是地图制图的重要任务。本文针对大量图斑,首先通过研究图斑栅格综合,减少碎图斑数量;然后构建图斑语义邻近度模型、空间几何拓扑模型,分析了顾及拓扑和地区地理特征约束下的地类图斑制图综合方法;最后形成了自动化图斑缩编生产工艺流程。基于上述方法,采用计算机编程技术研发国土三调缩编系统,并应用于四川省某县23万图斑量的三调数据并试验验证。试验结果表明,通过本文方法的成果符合专题制图要求,极大地提高了三调图斑的自动综合效率。

Deriving multi-scale database from the third national land survey database is an important task for cartographers.In this paper, we focus on processing large number of Land polygons, study the raster generalization for land polygons to reduce broken and small land polygons, construct the semantic proximity model and the spatial geometric topology model, analyse land features map generalization based on the topology and geographical characteristics of the region, establish an automatic land generalization production process.Based on the above methods, the computer programming technology is used to develop land generalization system and generalize land features with about 230 000 land features of a county in Sichuan province to test the system.It turns out that the method proposed in this paper meets the requirements of thematic mapping and greatly improve the automatic generalization efficiency of land polygons.