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Proceedings Paper

Infrared target simulation environment for pattern recognition applications
Author(s): Andreas E. Savakis; Nicholas George
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Paper Abstract

The generation of complete databases of IR data is extremely useful for training human observers and testing automatic pattern recognition algorithms. Field data may be used for realism, but require expensive and time-consuming procedures. IR scene simulation methods have emerged as a more economical and efficient alternative for the generation of IR databases. A novel approach to IR target simulation is presented in this paper. Model vehicles at 1:24 scale are used for the simulation of real targets. The temperature profile of the model vehicles is controlled using resistive circuits which are embedded inside the models. The IR target is recorded using an Inframetrics dual channel IR camera system. Using computer processing we place the recorded IR target in a prerecorded background. The advantages of this approach are: (1) the range and 3D target aspect can be controlled by the relative position between the camera and model vehicle; (2) the temperature profile can be controlled by adjusting the power delivered to the resistive circuit; (3) the IR sensor effects are directly incorporated in the recording process, because the real sensor is used; (4) the recorded target can embedded in various types of backgrounds recorded under different weather conditions, times of day etc. The effectiveness of this approach is demonstrated by generating an IR database of three vehicles which is used to train a back propagation neural network. The neural network is capable of classifying vehicle type, vehicle aspect, and relative temperature with a high degree of accuracy.

Paper Details

Date Published: 8 July 1994
PDF: 9 pages
Proc. SPIE 2224, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing V, (8 July 1994); doi: 10.1117/12.180072
Show Author Affiliations
Andreas E. Savakis, Univ. of Rochester Medical Ctr. (United States)
Nicholas George, Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 2224:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing V
Gerald C. Holst, Editor(s)

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