A Voronoi-based Model for Emergency Planning Using Sequential-scan Algorithms

被引：0

作者：

Torpelund-Bruin, Christopher ^{[1
]}

Lee, Ickjai ^{[2
]}

机构：

[1] James Cook Univ, Sch Business IT, Townsville, Qld 4811, Australia

[2] James Cook Univ, Sch Business IT, Cairns, Qld 4811, Australia

来源：

ISI: 2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS | 2009年

关键词：

EUCLIDEAN DISTANCE TRANSFORMATION; PROPAGATION;

D O I：

10.1109/ISI.2009.5137276

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We propose efficient and effective sequential-scan algorithms for intelligent emergency planning, spatial analysis and disaster decision support through the use of Voronoi Tessellations. We propose a modified distance transform algorithm to include complex primitives (point, line and area), Minkowski metrics, different weights, obstacles and higher-order Voronoi diagrams. Illustrated examples demonstrate the usefulness and robustness of our proposed computation model.

引用

页码：83 / +

页数：2

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