Robust measure for camouflage effectiveness in the visual domain

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

doi:10.1117/12.392548

24 July 2000 Robust measure for camouflage effectiveness in the visual domain

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

Proceedings Volume 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process; (2000) https://doi.org/10.1117/12.392548
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

A human-in-the-loop computer based camouflage assessment approach was already presented at the AeroSense 1998 conference.³ The same image sets were used for human photosimulation as well as for the computer assessment method. The human photosimulation results suggested four camouflage classes which were used to develop and verify the separability measure. Analyzing camouflage effectiveness using separability measures induces a very complex feature space. Best results were obtained using the C4.5 classifier as a separability measure. The size of the objects presented duing the photosimulation sessions and tactical knowledge of the observers had significant influence on the detectoin/recognition performance of humans. The most important advantage of our method is to make camouflage assessment more transparent and deterministic. Results of a selected experiment during a field test are shown in this paper.

Citation Download Citation

Georg S. Ruppert, Reinhard Beichel, and Floris M. Gretzmacher "Robust measure for camouflage effectiveness in the visual domain", Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); https://doi.org/10.1117/12.392548

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