标题：A Simplification of Ria Coastline with Geomorphologic Characteristics Preserved作者：Ai, Tinghua; Zhou, Qi; Zhang, Xiang; Huang, Yafeng; Zhou, Mengjie

来源出版物：MARINE GEODESY 卷：37 期：2，SI 页：167-186 DOI：10.1080/01490419.2014.903215 出版年：2014

摘要：To meet the requirements of multi-scale mapping in maritime applications, marine charts need to be produced at various levels of detail (LOD) using map generalization. As a prominent geographic feature, the coastline has to be generalized considering the geomorphologic characteristics rather than from a pure geometric perspective. Morphologic and domain-specific constraints (e.g., safety) should be incorporated in designing a coastline generalization algorithm. Motivated by the generalization of ria coastlines, this article proposes a simplification algorithm that is specific to coastlines. An analysis of ria coasts results in several morphologic constraints that have to be satisfied in coastline generalization, such as the dendritic pattern of estuaries. To satisfy these constraints, a hierarchical estuary tree model is first established by Delaunay triangulation, which helps to represent the dendritic pattern of ria coastlines. Minor estuaries are then deleted to achieve a reasonable coastline simplification. To imitate manual generalization, an indicator is designed to calculate the importance of estuaries in a context dependent manner. By comparing with a well-known bend simply algorithm, we show that the presented method can maintain dendritic pattern of coastline and is free from self-intersection and also granted for navigation safety. This article also demonstrates that the proposed approach is applicable to coastlines in general.

入藏号：WOS:000337610400005

文献类型：Article

语种：English

作者关键词：map generalization, ria coastline, coastline simplification, Delaunay triangulation

扩展关键词：SPLINE SNAKE MODEL; LINE SIMPLIFICATION

通讯作者地址：Zhang, Xiang; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

电子邮件地址：xiang.zhang@whu.edu.cn

地址：

[Ai, Tinghua; Zhou, Qi; Zhang, Xiang; Huang, Yafeng; Zhou, Mengjie] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

[Huang, Yafeng] Nanjing Res Inst Elect Technol, Nanjing, Jiangsu, Peoples R China.

研究方向：

ISSN：0149-0419