基于人工智能技术的数字地面模型空间插值研究

RESEARCH ON THE DTM SPATIAL INTERPOLATION BASED ON THE AI TECHNIQUE

本文针对数字地面模型(D igital Terrain Model)的建模问题,将高程作为插值变量,通过建立采样点的平面坐标(x,y)及位置因子x2+y2作为输入,对应点的地面高程作为输出的1种描述空间采样数据的BP模型,用人工智能技术研究了1个小区域的高程插值问题。结果表明:基于BP法的人工智能技术可用于DTM的最优空间插值,插值结果可直接用于DTM数字建模,为数字地面模型的建立提供了1种新方法。

Looking on to establishing DTM, regarding elevation as interpolation variant, through building a kind of BP model describing spatial sampling data, taking the flat coordinate（x, y） and position factor as input , elevation of corresponding points as output, a small area elevation special interpolation was studied using AI technique. The results showed that BP method can be used to do optimum spatial interpolation of DTM, the results can be directly used in DTM establishing. It offered a kind of new method of establishing DTM.