海图上点群状特征的识别与量测  

The Identification and Measurement of the Points Form Characteristic on Chart

作　　者：李志炜[1] 朱颖[2] 陆毅[2] 晏天翔 谢丛涛[1] 

机构地区：[1]海军出版社 [2]海军海洋测绘研究所 [3]95806部队

出　　处：《海洋测绘》2009年第3期16-18,共3页Hydrographic Surveying and Charting

摘　　要：点群状(包括图斑群)目标在GIS数据中有大量的实例,由于它不同于单个独立的点状要素,在海图自动综合中如何对其分布特性进行识别并加以定量描述,是进行点群综合过程中的关键问题。主要介绍如何利用Delaunay三角网与Voronoi图两种模型对点群状目标分布特性进行描述,并通过对Delaunay三角网与Voronoi图的"蚕食"以及引入图像处理概念将密度问题转化为图像处理问题的方法,直接或间接对点群状目标进行识别与量测。Following the line generalization, point cluster generalization becomes the second focus in chart generalization field because many objects distribute in random fashion, such ad islands, lades and house etc. In this paper, based on the Delaunay triangulation and Voronoi diagram model, it focuses on the discussion of spatial distribution propertise with recognition and measurement. By establishing the Voronoi diagram in a dynamic way, a method of pointcluster simplification is proposed. Four characteristics of parameters are defined for distribution property description： distribution density of three dimensions, distribution range of two dimensions, distribution axes of one dimension, distribution center of zero dimension. With the aid mentioned above, representation and calculation models are established.

关 键 词：制图综合 点群 识别 量测 

分 类 号：P283.7[天文地球—地图制图学与地理信息工程]