多尺度表达中线状要素的综合不确定性评价模型

在考虑节点化简的基础上建立了节点数据不确定性评价模型,基于曲线光滑模型建立了线元模型不确定性评价模型,在此基础上,根据不确定性传播律构建了由数据不确定性和模型不确定性合成的线状要素多尺度表达不确定性的综合评价模型。实验表明,综合不确定性指标值作为线状要素多尺度表达不确定性的量化指标是有效的。可将其用于计算线元不确定带的宽度,解决线状要素多尺度表达不确定性空间分析和推理问题;并用于线状要素多尺度表达的质量评价与控制。

Evaluation Model for Synthetical Uncertainty in Multi-Scale Representation of Line Feature

The evaluation model of uncertainty of node data was built on the basis of considering of node reduction, and the evaluation model of line element was built upon the model of line smoothing. Then the synthetical evalua-tion model of uncertainty of multi-scale representation of line feature was built based on the law of error propaga-tion. Experiment shows that the index value of synthetical uncertainty as the quantitative index of uncertainty of multi-scale representation of line feature is very effective. This index value can use further to calculate the width of uncertainty band of line element, which is the foundation of solving spatial analysis and reasoning issues of uncer-tainty of multi-scale of line feature. It can be used inquality evaluation and control of multi-scale representation on line feature.