Enhanced battlefield visualization for situation awareness

被引:20
作者
Kim, YJ
Hoffmann, CM
机构
[1] Ewha Womans Univ, Dept Comp Sci & Engn, Seoul 120750, South Korea
[2] Purdue Univ, Dept Comp Sci, W Lafayette, IN 47907 USA
来源
COMPUTERS & GRAPHICS-UK | 2003年 / 27卷 / 06期
基金
美国国家科学基金会;
关键词
situation awareness; Delaunay triangulation; density; clustering;
D O I
10.1016/j.cag.2003.08.006
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We present tools to visualize density, clustering, and lethality assessment that help a military commander achieve situation awareness on the battlefield. For the density computation, we provide a geometry-based, image-based, and hybrid approach to tackle the problem. We choose proximity-based clustering as a suitable definition for our application. Based on this clustering definition, we show an efficient computational method based on the Delaunay triangulation. Finally, we present a probabilistic model for the lethality assessment and an efficient way to compute it using hardware support where available. We also explain how to deliver visual information to the human visual system effectively. The principles of human visual perception, such as preattentive and Gestalt perceptual processing, play an important role in this work. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:873 / 885
页数:13
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