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Proceedings Paper

Computation and visualization concept for reconnaissance requirement
Author(s): S. Eckel; J. Geisler
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Paper Abstract

The quantity and variety of sensors, available for reconnaissance and surveillance is larger than ever before. However, increasing the number of sensors results in escalating costs and efforts to analyze the sensor data. Hence it is obvious that with an increasing number of available sensors the task to determine where reconnaissance requirement is highest and what sensor combination to use in order to close the information gap becomes more and more complex. Therefore semiautomated systems are needed to assist the commander of reconnaissance sources. Nevertheless the final decision about sensor deployment is often made by humans. Thus a module is needed to display the current situation to the decision maker in a way that allows him to understand the situation at first glance. Using knowledge about what men are better at, and what machines are better at, we developed on the one hand a mathematical model that allows us determine decision relevant measures in reconnaissance tasks. On the other hand a visualization concept for reconnaissance requirement, which visualizes in an intuitive way where reconnaissance requirement is highest, has been developed.

Paper Details

Date Published: 15 April 2008
PDF: 8 pages
Proc. SPIE 6983, Defense and Security 2008: Special Sessions on Food Safety, Visual Analytics, Resource Restricted Embedded and Sensor Networks, and 3D Imaging and Display, 69830D (15 April 2008); doi: 10.1117/12.777506
Show Author Affiliations
S. Eckel, Univ. Karlsruhe (Germany)
J. Geisler, Fraunhofer-Institut für Informations- und Datenverarbeitung (Germany)


Published in SPIE Proceedings Vol. 6983:
Defense and Security 2008: Special Sessions on Food Safety, Visual Analytics, Resource Restricted Embedded and Sensor Networks, and 3D Imaging and Display
Moon S. Kim; Kaunglin Chao; William J. Tolone; William Ribarsky; Sergey I. Balandin; Bahram Javidi; Shu-I Tu, Editor(s)

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