Extracting the information of coastline shape and its multiple representations

Ying Liu; Shujun Li; Zhen Tian; Huirong Chen

doi:10.1117/12.759690

Abstract

According to studying the coastline, a new way of multiple representations is put forward in the paper. That is stimulating human thinking way when they generalized, building the appropriate math model and describing the coastline with graphics, extracting all kinds of the coastline shape information. The coastline automatic generalization will be finished based on the knowledge rules and arithmetic operators. Showing the information of coastline shape by building the curve Douglas binary tree, it can reveal the shape character of coastline not only microcosmically but also macroscopically. Extracting the information of coastline concludes the local characteristic point and its orientation, the curve structure and the topology trait. The curve structure can be divided the single curve and the curve cluster. By confirming the knowledge rules of the coastline generalization, the generalized scale and its shape parameter, the coastline automatic generalization model is established finally. The method of the multiple scale representation of coastline in this paper has some strong points. It is human's thinking mode and can keep the nature character of the curve prototype. The binary tree structure can control the coastline comparability, avoid the self-intersect phenomenon and hold the unanimous topology relationship.

Citation Download Citation

Ying Liu, Ying Liu, Shujun Li, Shujun Li, Zhen Tian, Zhen Tian, Huirong Chen, Huirong Chen, "Extracting the information of coastline shape and its multiple representations", Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510V (3 August 2007); doi: 10.1117/12.759690; https://doi.org/10.1117/12.759690

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