摘要
基于地统计学的克里金数学模型在解算权系数时存在负权现象。本文增设非负约束条件,利用遗传算法在全局范围内求解最优解的性能,分析模型系统对空间权重系数的依赖度,研究消除格网DEM克里金插值的负权问题,并且通过MATLAB验证算法的正确性,提高建模的准确性。
There is negative-weight problem in Kriging＇s model based Geostatistical Methods.The nonnegative constraint was set up in the article,with the property of genetic algorithm for calculate optimal solution in total field,clearing up negative-weight is researched for the interpolation of gridding DEM.The correctness of the method was validated with matlab＇s programming,and the accuracy of modeling was enhanced.
出处
《北京测绘》
2015年第4期30-33,共4页
Beijing Surveying and Mapping
关键词
克里金插值
负权
遗传算法
约束条件
Kriging＇s interpolation
negative-weight
genetic algorithm
constraint condition
