基于规则格网DEM的地形特征提取算法

提出并实现了一种基于规则格网DEM的地形特征线提取算法,该算法在现有地表水流模拟方法的基础上将矢量操作与栅格操作结合起来对规则格网DEM中的洼地进行填平处理,采用邻域格网分组扫描方法确定平地水流方向,与以往算法相比在提取效率和结果准确性等方面都有了明显的改进,从而也使其更加适合于对大规模的DEM数据进行处理,采用各种尺度的DEM进行试验的结果验证了以上结论.

The Extraction of Topographic Patterns Based on Regular Grid DEMs

As a fundamental problem in terrain analysis, topographic patterns extraction has fund its role in many applications such as hydrographic analysis, mineral deposition, land erosion, and pollution diffusion analysis et al. A topographic patterns extraction approach based on regular grid Digital Elevation Models (DEMs) is presented. The approach fills depressions by using vector processes combined with traditional neighborhood raster processes, assigns flow direction over flat by applying a neighbor-grouping scan method. The approach is tested with a set of DEMs of different sizes, and the result proves that its mass data processing capability, extraction efficiency and result accuracy are better than existing methods.