Fuzzy logic approach for the quantitative assessment of camouflage effectiveness in the thermal infrared domain

Reinhard Beichel; Georg S. Ruppert; Floris M. Gretzmacher

doi:10.1117/12.392547

24 July 2000 Fuzzy logic approach for the quantitative assessment of camouflage effectiveness in the thermal infrared domain

Reinhard Beichel, Georg S. Ruppert, Floris M. Gretzmacher

Author Affiliations +

Proceedings Volume 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process; (2000) https://doi.org/10.1117/12.392547
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

A key point for good camouflage results in the thermal infrared domain lies in the ability of the camouflage system to adapt to the thermal emission behavior of the surrounding background. In order to obtain reliable assessments of the camouflage effectiveness, evaluation has to take place under various environment condition. The combination of the different results leads to a assessment measure with the demanded reliability. The object quantization of the individual camouflage effectiveness and the following combination is very difficult to achieve by human operators. Therefore an Infrared Camouflage Effectiveness Assessment Tool (ICEAT) has been developed, which needs only minor human interaction and supports the automated combination of the results of various test scenes. In a first step hot spots of the object and the background are detected. In a second phase various features are calculated which are combined to a single assessment measure in the third phase by using fuzzy logic. The fuzzy logic approach has the advantage that the customization of the ICEAT can be achieved by simply modifying the used membership functions.

Citation Download Citation

Reinhard Beichel, Georg S. Ruppert, and Floris M. Gretzmacher "Fuzzy logic approach for the quantitative assessment of camouflage effectiveness in the thermal infrared domain", Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); https://doi.org/10.1117/12.392547

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