Sensor image simulation using neural networks

Erwin W. Baumann; Budimir Zvolanek

doi:10.1117/12.152578

2 September 1993 Sensor image simulation using neural networks

Erwin W. Baumann, Budimir Zvolanek

Proceedings Volume 1965, Applications of Artificial Neural Networks IV; (1993) https://doi.org/10.1117/12.152578
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Erwin W. Baumann and Budimir Zvolanek "Sensor image simulation using neural networks", Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); https://doi.org/10.1117/12.152578

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