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DEM Interpolation Weight Calculation Modulus Based on Maximum Entropy

机译:基于最大熵的DEM插值权重计算模

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There is negative-weight in traditional interpolation of gridding DEM, in the article, the principle of Maximum Entropy is utilized to analyze the model system which depends on modulus of space weight. Negative-weight problem of the DEM interpolation is researched via building Maximum Entropy model, and adding nonnegative, first and second order's Moment constraints, the negative-weight problem is solved. The correctness and accuracy of the method was validated with genetic algorithm in matlab program. The method is compared with the method of Yang Chizhong interpolation and quadratic program. Comparison shows that the volume and scaling of Maximum Entropy's weight is fit to relations of space and the accuracy is superior to the latter two.
机译:传统的网格DEM插值法具有负权重,本文利用最大熵原理分析了依赖于空间权重模量的模型系统。通过建立最大熵模型研究DEM插值的负权问题,并添加非负,一阶和二阶的矩约束,解决了负权问题。在Matlab程序中用遗传算法验证了该方法的正确性和准确性。将该方法与杨池中插值法和二次规划法进行了比较。比较表明,最大熵权重的大小和比例符合空间关系,精度优于后两者。

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