发布时间：

2026-06-30

DOI码：

10.1080/13658816.2020.1753203

所属单位：

城市与环境科学学院

论文名称：

A multi-scale representation model of polyline based on head/tail breaks

发表刊物：

International Journal of Geographical Information Science

关键字：

Multiscale Representation; head; tail breaks; Fourier series; information content; cartographic generalization

摘要：

This paper proposes a model to quantify the multiscale representation of a polyline based on iterative head/tail breaks. A polyline is first transformed into a corresponding Fourier descriptor consisting of normalized Fourier-series-expansion coefficients. Then, the most significant finite components of the Fourier descriptor are selected and ranked to constitute the polyline constrained Fourier descriptor. Using Shannon's information theory, information content of the constrained Fourier-descriptor components is defined. Next, head/tail breaks are introduced to iteratively divide the constrained Fourier descriptor into head and tail components according to the heavy-tailed distribution of information contents. Thus, simplified polylines are reconstructed using ordered heads generated from head/tail breaks. Finally, the radical law is introduced and applied to model multiscale polyline representation by quantifying the scale of each simplified polyline. Three experiments are designed and conducted to evaluate the proposed model. The results demonstrate that the proposed model is valid and efficient for quantifying multiscale polyline representation.

合写作者：

Xiao, Tianyuan,Ai, Tinghua

第一作者：

刘鹏程

论文类型：

期刊论文

通讯作者：

肖佳

论文编号：

1639587444087197696

文献类型：

00001

卷号：

34

期号：

11

页面范围：

2275-2295

ISSN号：

1365-8816

是否译文：

否

发表时间：

2020-11-01

收录刊物：

其他（ESI、Scopus、OA）、SSCI、SCI