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Proceedings Paper

Sensor image simulation using neural networks
Author(s): Erwin W. Baumann; Budimir Zvolanek
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Paper Abstract

Simulation of infrared, radar, and other imaging sensors plays an important role in the planning and rehearsal of military missions and in the training of mission personnel. The challenge is to develop technology that will support the rapid use of reconnaissance imagery to generate cockpit sensor displays that accurately represent the real world while insuring correlation among the out-the-window scenes and sensor displays. This paper describes a novel, neural-network-based technique for infrared and radar image simulation directly from multi-spectral imagery (MSI). Source imagery, its processing using neural networks, and infrared and radar image simulation results are presented. Issues related to MSI database generation are also described.

Paper Details

Date Published: 2 September 1993
PDF: 7 pages
Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); doi: 10.1117/12.152578
Show Author Affiliations
Erwin W. Baumann, McDonnell Douglas Aerospace (United States)
Budimir Zvolanek, McDonnell Douglas Aerospace (United States)

Published in SPIE Proceedings Vol. 1965:
Applications of Artificial Neural Networks IV
Steven K. Rogers, Editor(s)

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