基于小波分析的线状特征数据无级表达

Scaleless Representations for Polyline Spatial Data Based on Wavelet Analysis

  • 摘要: 利用小波分析提出了线状特征空间数据的多尺度一致性无级表达模型,研究了基于该模型获取整数尺度上的地理信息,以及通过增量、连续地增补细节来获取分数尺度上的过渡地理信息,从而获取任意尺度上不同详细程度的地理信息的方法,动态地实现了线状特征空间数据的无级表达,并给出了实验结果。

     

    Abstract: The key for scaleless representation of geo-spatial data is how to acquire the geographic information with different details at any scales dynamically and continuously. This paper presents a scaleless and consistent representation model for multi-scale geo-spatial data by using wavelet analysis, introduces how to acquire the geographic information at multiple integer scales based on this model and how to get the interim geographic information at the fractional scales between the adjacent integer scales by subjoining the details incrementally and dynamically so as to implement the scaleless representations for ployline feature of spatial data. Some examples are demonstrated.

     

/

返回文章
返回