基于"有限"搜索范围的距离加权算法研究

本文论述了传统距离加权算法在数字高程模型插值过程中,由于搜索邻域的界定导致建模速度和建模精度的缺陷,提出了基于有限搜索范围的距离加权算法,即在求得影响内插点插值精度的最大模糊距离dmax之后,修正了搜索邻域界定的经验公式;最后以典型地貌数据为例在建模速度、建模精度、建模效果三个方面对传统和改进算法进行比较验证。结果表明改进算法在速度、精度和效果等方面都有较好的表现。

Construct DEM using a distance-weighting algorithm in a limited search range

This paper discussed the traditional distance-weighting algorithm in constructing DEM and analyzed its disadvantages due to modeling precision and modeling speed in modeling firstly,then proposed corresponding an improved mean based on limited search range.The empirical format of traditional grid separation was modified after the maximum distance dmax was concluded which influences on the precision of the uncertain point.At last,the modeling speeds,modeling precisions and modeling effect of traditional algorithm and improved algorithm were tested by using data of different kinds of typical terrains and the improved algorithm was proved better in all aspects.