基于知识的实用地图子图识别

S. Hickinbotham, A. Cohn
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引用次数: 2

摘要

一个地点所有公用事业服务的综合地图将有助于更好地管理道路基础设施和公用事业本身。为了实现这一目标,需要通过捕获绘图对象之间的语义关系,将纸质地图的栅格扫描集成到GIS中。在这种情况下,商业上可用的矢量化算法不能产生足够丰富的对象表示。提出了一种结构目标识别系统,该系统成功地分离了地下公用事业图中的截面子图。这是建立在一个矢量化系统的基础上的约束Delau-nay三角笔画。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge-Based Recognition of Utility Map Sub-Diagrams
An integrated map of all utility services in a locale would facilitate better management of the road infrastructure and the utilities themselves. To meet this goal, there exists a need to integrate raster scans of paper maps into GIS by capturing the semantic relationships between the objects in the drawings. In this context, commercially available vectorisation algorithms do not produce a sufficiently rich object representation. We present a structural object recognition system that successfully isolates sectional sub- diagrams in maps of underground utilities. This is built upon a vectorisation system based on a constrained Delau-nay triangulation of pen strokes.
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