网络多分辨率传输中曲线集的相似性度量模型研究

A Similarity Measurement Model for Multi-resolution Transmission of Curve Datasets over the Internet

针对空间数据在网络多分辨率传输中的相似差异,提出了一种适用于曲线集的相似性度量模型。模型根据拓扑关系和几何特征差异计算曲线相似度,然后以曲线最小凸包面积为权,计算曲线集的加权相似度和相似精度,以加权相似度评估曲线集的整体相似程度,以相似精度评估曲线集各曲线间的相似差异。最后通过实验验证了该模型的有效性。

Concerning the dissimilarity between original spatial data and progressively transmitted spatial da- ta, this paper proposes a model for measuring the similarity of curve datasets. After curve similarity is measured based on differences of the topological and geometric characteristics, the weighted similarity and the similarity precision for curve datasets are computed. The model uses weighted similarity to assess the overall degree of similarity for curve datasets and uses similarity precision to assess the similarity differences between curves. Finally, the model was used in an experiment and verified for effectiveness.